Overview

Brought to you by YData

Dataset statistics

Number of variables	52
Number of observations	7058
Missing cells	207575
Missing cells (%)	56.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.8 MiB
Average record size in memory	416.0 B

Variable types

Numeric	26
Categorical	19
Text	5
Boolean	2

Alerts

`Process (PMF) - Prototyping Used` has constant value "True"	Constant
`- CASE Tool Used` is highly overall correlated with `Process (PMF) - Development Methodologies` and 4 other fields	High correlation
`External (EEF) - Data Quality Rating` is highly overall correlated with `Process (PMF) - Development Methodologies` and 4 other fields	High correlation
`People (PRF) - BA team experience 1 to 3 yr` is highly overall correlated with `People (PRF) - IT experience 1 to 3 yr` and 6 other fields	High correlation
`People (PRF) - BA team experience <1 yr` is highly overall correlated with `People (PRF) - IT experience <1 yr` and 2 other fields	High correlation
`People (PRF) - BA team experience >3 yr` is highly overall correlated with `People (PRF) - IT experience >3 yr` and 3 other fields	High correlation
`People (PRF) - IT experience 1 to 3 yr` is highly overall correlated with `People (PRF) - BA team experience 1 to 3 yr` and 9 other fields	High correlation
`People (PRF) - IT experience 3 to 9 yr` is highly overall correlated with `Project (PRF) - Currency multiple` and 2 other fields	High correlation
`People (PRF) - IT experience <1 yr` is highly overall correlated with `People (PRF) - BA team experience <1 yr` and 4 other fields	High correlation
`People (PRF) - IT experience <3 yr` is highly overall correlated with `Process (PMF) - Development Methodologies` and 2 other fields	High correlation
`People (PRF) - IT experience >3 yr` is highly overall correlated with `People (PRF) - BA team experience >3 yr` and 10 other fields	High correlation
`People (PRF) - IT experience >9 yr` is highly overall correlated with `People (PRF) - BA team experience >3 yr` and 3 other fields	High correlation
`People (PRF) - Personnel changes` is highly overall correlated with `Process (PMF) - Development Methodologies` and 1 other fields	High correlation
`People (PRF) - Project manage changes` is highly overall correlated with `Project (PRF) - Cost currency` and 1 other fields	High correlation
`People (PRF) - Project manage experience` is highly overall correlated with `Project (PRF) - Currency multiple` and 2 other fields	High correlation
`People (PRF) - Project user involvement` is highly overall correlated with `Process (PMF) - Development Methodologies` and 6 other fields	High correlation
`Process (PMF) - Development Methodologies` is highly overall correlated with `- CASE Tool Used` and 13 other fields	High correlation
`Process (PMF) - Docs` is highly overall correlated with `- CASE Tool Used` and 9 other fields	High correlation
`Project (PRF) - Cost currency` is highly overall correlated with `People (PRF) - Project manage changes` and 5 other fields	High correlation
`Project (PRF) - Currency multiple` is highly overall correlated with `People (PRF) - BA team experience 1 to 3 yr` and 10 other fields	High correlation
`Project (PRF) - Defect Density` is highly overall correlated with `Project (PRF) - Currency multiple` and 2 other fields	High correlation
`Project (PRF) - Functional Size` is highly overall correlated with `Project (PRF) - Manpower Delivery Rate` and 5 other fields	High correlation
`Project (PRF) - Manpower Delivery Rate` is highly overall correlated with `People (PRF) - IT experience >3 yr` and 8 other fields	High correlation
`Project (PRF) - Max Team Size` is highly overall correlated with `People (PRF) - BA team experience >3 yr` and 13 other fields	High correlation
`Project (PRF) - Normalised Level 1 PDR (ufp)` is highly overall correlated with `People (PRF) - IT experience >3 yr` and 7 other fields	High correlation
`Project (PRF) - Normalised PDR (ufp)` is highly overall correlated with `People (PRF) - IT experience >3 yr` and 7 other fields	High correlation
`Project (PRF) - Normalised Work Effort` is highly overall correlated with `People (PRF) - IT experience >3 yr` and 5 other fields	High correlation
`Project (PRF) - Normalised Work Effort Level 1` is highly overall correlated with `People (PRF) - IT experience 1 to 3 yr` and 6 other fields	High correlation
`Project (PRF) - Project Elapsed Time` is highly overall correlated with `Project (PRF) - Manpower Delivery Rate` and 2 other fields	High correlation
`Project (PRF) - Relative Size` is highly overall correlated with `Project (PRF) - Functional Size` and 1 other fields	High correlation
`Project (PRF) - Speed of Delivery` is highly overall correlated with `Project (PRF) - Functional Size` and 4 other fields	High correlation
`Project (PRF) - Team Size Group` is highly overall correlated with `People (PRF) - BA team experience 1 to 3 yr` and 4 other fields	High correlation
`Project (PRF) - Total project cost` is highly overall correlated with `People (PRF) - IT experience >3 yr` and 4 other fields	High correlation
`Project (PRF) - Year of Project` is highly overall correlated with `People (PRF) - IT experience 1 to 3 yr` and 2 other fields	High correlation
`Tech (TF) - Architecture` is highly overall correlated with `Tech (TF) - Client/Server Description` and 2 other fields	High correlation
`Tech (TF) - Client/Server Description` is highly overall correlated with `- CASE Tool Used` and 8 other fields	High correlation
`Tech (TF) - DBMS Used` is highly overall correlated with `People (PRF) - IT experience 1 to 3 yr` and 5 other fields	High correlation
`Tech (TF) - Development Platform` is highly overall correlated with `Tech (TF) - Client/Server Description` and 2 other fields	High correlation
`Tech (TF) - Language Type` is highly overall correlated with `Project (PRF) - Cost currency`	High correlation
`Tech (TF) - Server Roles` is highly overall correlated with `- CASE Tool Used` and 16 other fields	High correlation
`Tech (TF) - Tools Used` is highly overall correlated with `Process (PMF) - Docs` and 2 other fields	High correlation
`Tech (TF) - Type of Server` is highly overall correlated with `- CASE Tool Used` and 14 other fields	High correlation
`Tech (TF) - Web Development` is highly overall correlated with `People (PRF) - BA team experience 1 to 3 yr` and 25 other fields	High correlation
`Project (PRF) - Application Group` is highly imbalanced (76.2%)	Imbalance
`Tech (TF) - Language Type` is highly imbalanced (56.5%)	Imbalance
`Process (PMF) - Development Methodologies` is highly imbalanced (74.1%)	Imbalance
`Tech (TF) - Web Development` is highly imbalanced (97.9%)	Imbalance
`Tech (TF) - DBMS Used` is highly imbalanced (88.0%)	Imbalance
`People (PRF) - Project manage changes` is highly imbalanced (60.2%)	Imbalance
`Project (PRF) - Cost currency` is highly imbalanced (58.6%)	Imbalance
`Project (PRF) - Currency multiple` is highly imbalanced (96.2%)	Imbalance
`External (EEF) - Industry Sector` has 1222 (17.3%) missing values	Missing
`External (EEF) - Organisation Type` has 1205 (17.1%) missing values	Missing
`Project (PRF) - Application Group` has 2096 (29.7%) missing values	Missing
`Project (PRF) - Application Type` has 1467 (20.8%) missing values	Missing
`Tech (TF) - Development Platform` has 1860 (26.4%) missing values	Missing
`Tech (TF) - Language Type` has 1292 (18.3%) missing values	Missing
`Tech (TF) - Primary Programming Language` has 1811 (25.7%) missing values	Missing
`Project (PRF) - Functional Size` has 908 (12.9%) missing values	Missing
`Project (PRF) - Relative Size` has 171 (2.4%) missing values	Missing
`Project (PRF) - Normalised Work Effort Level 1` has 770 (10.9%) missing values	Missing
`Project (PRF) - Normalised Level 1 PDR (ufp)` has 1648 (23.3%) missing values	Missing
`Project (PRF) - Normalised PDR (ufp)` has 908 (12.9%) missing values	Missing
`Project (PRF) - Defect Density` has 5604 (79.4%) missing values	Missing
`Project (PRF) - Speed of Delivery` has 1619 (22.9%) missing values	Missing
`Project (PRF) - Manpower Delivery Rate` has 5039 (71.4%) missing values	Missing
`Project (PRF) - Project Elapsed Time` has 859 (12.2%) missing values	Missing
`Project (PRF) - Team Size Group` has 4817 (68.2%) missing values	Missing
`Project (PRF) - Max Team Size` has 4817 (68.2%) missing values	Missing
`- CASE Tool Used` has 4887 (69.2%) missing values	Missing
`Process (PMF) - Development Methodologies` has 4488 (63.6%) missing values	Missing
`Process (PMF) - Prototyping Used` has 6043 (85.6%) missing values	Missing
`Tech (TF) - Architecture` has 4323 (61.2%) missing values	Missing
`Tech (TF) - Client Server?` has 6779 (96.0%) missing values	Missing
`Tech (TF) - Client Roles` has 6791 (96.2%) missing values	Missing
`Tech (TF) - Server Roles` has 5693 (80.7%) missing values	Missing
`Tech (TF) - Type of Server` has 6474 (91.7%) missing values	Missing
`Tech (TF) - Client/Server Description` has 6115 (86.6%) missing values	Missing
`Tech (TF) - Web Development` has 6054 (85.8%) missing values	Missing
`Tech (TF) - DBMS Used` has 3735 (52.9%) missing values	Missing
`Tech (TF) - Tools Used` has 2618 (37.1%) missing values	Missing
`People (PRF) - Project user involvement` has 6380 (90.4%) missing values	Missing
`People (PRF) - BA team experience <1 yr` has 6784 (96.1%) missing values	Missing
`People (PRF) - BA team experience 1 to 3 yr` has 6764 (95.8%) missing values	Missing
`People (PRF) - BA team experience >3 yr` has 6697 (94.9%) missing values	Missing
`People (PRF) - IT experience <1 yr` has 7001 (99.2%) missing values	Missing
`People (PRF) - IT experience 1 to 3 yr` has 6990 (99.0%) missing values	Missing
`People (PRF) - IT experience >3 yr` has 6976 (98.8%) missing values	Missing
`People (PRF) - IT experience <3 yr` has 6785 (96.1%) missing values	Missing
`People (PRF) - IT experience 3 to 9 yr` has 6717 (95.2%) missing values	Missing
`People (PRF) - IT experience >9 yr` has 6761 (95.8%) missing values	Missing
`People (PRF) - Project manage experience` has 6633 (94.0%) missing values	Missing
`People (PRF) - Project manage changes` has 6481 (91.8%) missing values	Missing
`People (PRF) - Personnel changes` has 6287 (89.1%) missing values	Missing
`Project (PRF) - Total project cost` has 6035 (85.5%) missing values	Missing
`Project (PRF) - Cost currency` has 5916 (83.8%) missing values	Missing
`Project (PRF) - Currency multiple` has 6255 (88.6%) missing values	Missing
`Project (PRF) - Defect Density` is highly skewed (γ1 = 22.61570279)	Skewed
`Project (PRF) - Defect Density` has 761 (10.8%) zeros	Zeros
`Project (PRF) - Manpower Delivery Rate` has 217 (3.1%) zeros	Zeros
`Process (PMF) - Docs` has 90 (1.3%) zeros	Zeros
`Tech (TF) - Tools Used` has 3063 (43.4%) zeros	Zeros
`People (PRF) - BA team experience <1 yr` has 79 (1.1%) zeros	Zeros
`People (PRF) - BA team experience 1 to 3 yr` has 74 (1.0%) zeros	Zeros
`People (PRF) - IT experience <3 yr` has 73 (1.0%) zeros	Zeros
`People (PRF) - Personnel changes` has 452 (6.4%) zeros	Zeros

Reproduction

Analysis started	2025-05-15 12:59:43.775590
Analysis finished	2025-05-15 13:02:07.361828
Duration	2 minutes and 23.59 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

ISBSG Project ID
Real number (ℝ)

Distinct	7055
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21335.873

Minimum	10003
Maximum	32767
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	10003
5-th percentile	11135.4
Q1	15655.5
median	21367.5
Q3	26920.5
95-th percentile	31662.3
Maximum	32767
Range	22764
Interquartile range (IQR)	11265

Descriptive statistics

Standard deviation	6545.8144
Coefficient of variation (CV)	0.30679852
Kurtosis	-1.1778567
Mean	21335.873
Median Absolute Deviation (MAD)	5629
Skewness	0.0070489315
Sum	1.5058859 × 10⁸
Variance	42847686
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11311	2	< 0.1%
31166	2	< 0.1%
25713	2	< 0.1%
25090	1	< 0.1%
25119	1	< 0.1%
25117	1	< 0.1%
25113	1	< 0.1%
25112	1	< 0.1%
25110	1	< 0.1%
25109	1	< 0.1%
Other values (7045)	7045	99.8%

Value	Count	Frequency (%)
10003	1	< 0.1%
10011	1	< 0.1%
10012	1	< 0.1%
10014	1	< 0.1%
10015	1	< 0.1%
10019	1	< 0.1%
10026	1	< 0.1%
10028	1	< 0.1%
10029	1	< 0.1%
10033	1	< 0.1%

Value	Count	Frequency (%)
32767	1	< 0.1%
32766	1	< 0.1%
32762	1	< 0.1%
32758	1	< 0.1%
32757	1	< 0.1%
32756	1	< 0.1%
32755	1	< 0.1%
32754	1	< 0.1%
32753	1	< 0.1%
32748	1	< 0.1%

External (EEF) - Data Quality Rating
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.3 KiB

B	5957
A	1101

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7058
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B
2nd row	B
3rd row	B
4th row	B
5th row	B

Common Values

Value	Count	Frequency (%)
B	5957	84.4%
A	1101	15.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
b	5957	84.4%
a	1101	15.6%

Most occurring characters

Value	Count	Frequency (%)
B	5957	84.4%
A	1101	15.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7058	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
B	5957	84.4%
A	1101	15.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7058	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
B	5957	84.4%
A	1101	15.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7058	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
B	5957	84.4%
A	1101	15.6%

Project (PRF) - Year of Project
Real number (ℝ)

High correlation

Distinct	27
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2004.7638

Minimum	1989
Maximum	2015
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	1989
5-th percentile	1995
Q1	2000
median	2004
Q3	2010
95-th percentile	2014
Maximum	2015
Range	26
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.8922025
Coefficient of variation (CV)	0.0029391006
Kurtosis	-0.79299938
Mean	2004.7638
Median Absolute Deviation (MAD)	4
Skewness	0.013083569
Sum	14149623
Variance	34.71805
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
2004	698	9.9%
2006	606	8.6%
2000	554	7.8%
1999	515	7.3%
2002	418	5.9%
2005	416	5.9%
2013	397	5.6%
2012	364	5.2%
2010	329	4.7%
2015	306	4.3%
Other values (17)	2455	34.8%

Value	Count	Frequency (%)
1989	5	0.1%
1990	10	0.1%
1991	38	0.5%
1992	36	0.5%
1993	64	0.9%
1994	136	1.9%
1995	123	1.7%
1996	94	1.3%
1997	149	2.1%
1998	268	3.8%

Value	Count	Frequency (%)
2015	306	4.3%
2014	291	4.1%
2013	397	5.6%
2012	364	5.2%
2011	176	2.5%
2010	329	4.7%
2009	213	3.0%
2008	155	2.2%
2007	165	2.3%
2006	606	8.6%

External (EEF) - Industry Sector
Categorical

Missing

Distinct	17
Distinct (%)	0.3%
Missing	1222
Missing (%)	17.3%
Memory size	55.3 KiB

Communication	1363
Insurance	1024
Manufacturing	746
Government	640
Medical & Health Care	506
Other values (12)	1557

Length

Max length	23
Median length	21
Mean length	12.240233
Min length	6

Characters and Unicode

Total characters	71434
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Communication
2nd row	Construction
3rd row	Wholesale & Retail
4th row	Wholesale & Retail
5th row	Communication

Common Values

Value	Count	Frequency (%)
Communication	1363	19.3%
Insurance	1024	14.5%
Manufacturing	746	10.6%
Government	640	9.1%
Medical & Health Care	506	7.2%
Banking	503	7.1%
Financial	377	5.3%
Service Industry	174	2.5%
Wholesale & Retail	129	1.8%
Electronics & Computers	118	1.7%
Other values (7)	256	3.6%
(Missing)	1222	17.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
communication	1363	16.9%
insurance	1024	12.7%
	753	9.3%
manufacturing	746	9.2%
government	640	7.9%
medical	506	6.3%
health	506	6.3%
care	506	6.3%
banking	503	6.2%
financial	377	4.7%
Other values (14)	1156	14.3%

Most occurring characters

Value	Count	Frequency (%)
n	9809	13.7%
a	6992	9.8%
i	6137	8.6%
e	5084	7.1%
c	4600	6.4%
u	4234	5.9%
t	4066	5.7%
o	3987	5.6%
r	3657	5.1%
m	3484	4.9%
Other values (27)	19384	27.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	71434	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	9809	13.7%
a	6992	9.8%
i	6137	8.6%
e	5084	7.1%
c	4600	6.4%
u	4234	5.9%
t	4066	5.7%
o	3987	5.6%
r	3657	5.1%
m	3484	4.9%
Other values (27)	19384	27.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	71434	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	9809	13.7%
a	6992	9.8%
i	6137	8.6%
e	5084	7.1%
c	4600	6.4%
u	4234	5.9%
t	4066	5.7%
o	3987	5.6%
r	3657	5.1%
m	3484	4.9%
Other values (27)	19384	27.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	71434	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	9809	13.7%
a	6992	9.8%
i	6137	8.6%
e	5084	7.1%
c	4600	6.4%
u	4234	5.9%
t	4066	5.7%
o	3987	5.6%
r	3657	5.1%
m	3484	4.9%
Other values (27)	19384	27.1%

External (EEF) - Organisation Type
Text

Missing

Distinct	179
Distinct (%)	3.1%
Missing	1205
Missing (%)	17.1%
Memory size	55.3 KiB

Length

Max length	255
Median length	125
Mean length	18.168973
Min length	4

Characters and Unicode

Total characters	106343
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	82 ?
Unique (%)	1.4%

Sample

1st row	Telecommunications;
2nd row	Construction;
3rd row	Billing;
4th row	Wholesale & Retail Trade;
5th row	Telecommunications;

Value	Count	Frequency (%)
insurance	1029	9.7%
	703	6.7%
communications	687	6.5%
manufacturing	679	6.4%
and	537	5.1%
health	533	5.0%
telecommunications	511	4.8%
medical	505	4.8%
care	503	4.8%
services	490	4.6%
Other values (261)	4383	41.5%

Most occurring characters

Value	Count	Frequency (%)
n	11468	10.8%
e	8647	8.1%
a	8540	8.0%
i	8300	7.8%
;	6416	6.0%
c	6089	5.7%
r	5501	5.2%
t	5344	5.0%
o	5089	4.8%
s	5065	4.8%
Other values (44)	35884	33.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	106343	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	11468	10.8%
e	8647	8.1%
a	8540	8.0%
i	8300	7.8%
;	6416	6.0%
c	6089	5.7%
r	5501	5.2%
t	5344	5.0%
o	5089	4.8%
s	5065	4.8%
Other values (44)	35884	33.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	106343	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	11468	10.8%
e	8647	8.1%
a	8540	8.0%
i	8300	7.8%
;	6416	6.0%
c	6089	5.7%
r	5501	5.2%
t	5344	5.0%
o	5089	4.8%
s	5065	4.8%
Other values (44)	35884	33.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	106343	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	11468	10.8%
e	8647	8.1%
a	8540	8.0%
i	8300	7.8%
;	6416	6.0%
c	6089	5.7%
r	5501	5.2%
t	5344	5.0%
o	5089	4.8%
s	5065	4.8%
Other values (44)	35884	33.7%

Project (PRF) - Application Group
Categorical

Imbalance Missing

Distinct	6
Distinct (%)	0.1%
Missing	2096
Missing (%)	29.7%
Memory size	55.3 KiB

Business Application	4468
Real-Time Application	222
Mathematically-Intensive Application	216
Infrastructure Software	48
Mathematically intensive application	6

Length

Max length	46
Median length	20
Mean length	20.800081
Min length	20

Characters and Unicode

Total characters	103210
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Business Application
2nd row	Business Application
3rd row	Business Application
4th row	Business Application
5th row	Business Application

Common Values

Value	Count	Frequency (%)
Business Application	4468	63.3%
Real-Time Application	222	3.1%
Mathematically-Intensive Application	216	3.1%
Infrastructure Software	48	0.7%
Mathematically intensive application	6	0.1%
Business Application; Infrastructure Software;	2	< 0.1%
(Missing)	2096	29.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
application	4914	49.5%
business	4470	45.0%
real-time	222	2.2%
mathematically-intensive	216	2.2%
infrastructure	50	0.5%
software	50	0.5%
mathematically	6	0.1%
intensive	6	0.1%

Most occurring characters

Value	Count	Frequency (%)
i	14970	14.5%
s	13682	13.3%
n	9878	9.6%
p	9828	9.5%
a	5908	5.7%
t	5730	5.6%
e	5680	5.5%
l	5580	5.4%
c	5186	5.0%
	4972	4.8%
Other values (18)	21796	21.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	103210	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	14970	14.5%
s	13682	13.3%
n	9878	9.6%
p	9828	9.5%
a	5908	5.7%
t	5730	5.6%
e	5680	5.5%
l	5580	5.4%
c	5186	5.0%
	4972	4.8%
Other values (18)	21796	21.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	103210	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	14970	14.5%
s	13682	13.3%
n	9878	9.6%
p	9828	9.5%
a	5908	5.7%
t	5730	5.6%
e	5680	5.5%
l	5580	5.4%
c	5186	5.0%
	4972	4.8%
Other values (18)	21796	21.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	103210	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	14970	14.5%
s	13682	13.3%
n	9878	9.6%
p	9828	9.5%
a	5908	5.7%
t	5730	5.6%
e	5680	5.5%
l	5580	5.4%
c	5186	5.0%
	4972	4.8%
Other values (18)	21796	21.1%

Project (PRF) - Application Type
Text

Missing

Distinct	539
Distinct (%)	9.6%
Missing	1467
Missing (%)	20.8%
Memory size	55.3 KiB

Length

Max length	255
Median length	211
Mean length	30.470935
Min length	3

Characters and Unicode

Total characters	170363
Distinct characters	63
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	317 ?
Unique (%)	5.7%

Sample

1st row	Online. eSales;
2nd row	Stock control & order processing;
3rd row	Billing;
4th row	Management Information System;
5th row	Data Warehouse system;

Value	Count	Frequency (%)
financial	1300	7.9%
management	1259	7.6%
transaction	1191	7.2%
system	1079	6.5%
process/accounting	974	5.9%
application	563	3.4%
information	482	2.9%
not	475	2.9%
recorded	475	2.9%
transaction/production	455	2.8%
Other values (583)	8275	50.1%

Most occurring characters

Value	Count	Frequency (%)
n	18522	10.9%
a	14907	8.8%
t	12769	7.5%
e	12491	7.3%
o	12340	7.2%
i	11667	6.8%
	10943	6.4%
c	10326	6.1%
r	9293	5.5%
s	9085	5.3%
Other values (53)	48020	28.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	170363	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	18522	10.9%
a	14907	8.8%
t	12769	7.5%
e	12491	7.3%
o	12340	7.2%
i	11667	6.8%
	10943	6.4%
c	10326	6.1%
r	9293	5.5%
s	9085	5.3%
Other values (53)	48020	28.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	170363	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	18522	10.9%
a	14907	8.8%
t	12769	7.5%
e	12491	7.3%
o	12340	7.2%
i	11667	6.8%
	10943	6.4%
c	10326	6.1%
r	9293	5.5%
s	9085	5.3%
Other values (53)	48020	28.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	170363	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	18522	10.9%
a	14907	8.8%
t	12769	7.5%
e	12491	7.3%
o	12340	7.2%
i	11667	6.8%
	10943	6.4%
c	10326	6.1%
r	9293	5.5%
s	9085	5.3%
Other values (53)	48020	28.2%

Project (PRF) - Development Type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.3 KiB

Enhancement	4834
New Development	2129
Re-development	95

Length

Max length	15
Median length	11
Mean length	12.246954
Min length	11

Characters and Unicode

Total characters	86439
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Enhancement
2nd row	New Development
3rd row	Enhancement
4th row	Enhancement
5th row	Enhancement

Common Values

Value	Count	Frequency (%)
Enhancement	4834	68.5%
New Development	2129	30.2%
Re-development	95	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
enhancement	4834	52.6%
new	2129	23.2%
development	2129	23.2%
re-development	95	1.0%

Most occurring characters

Value	Count	Frequency (%)
e	18564	21.5%
n	16726	19.4%
m	7058	8.2%
t	7058	8.2%
E	4834	5.6%
h	4834	5.6%
a	4834	5.6%
c	4834	5.6%
v	2224	2.6%
p	2224	2.6%
Other values (9)	13249	15.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	86439	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	18564	21.5%
n	16726	19.4%
m	7058	8.2%
t	7058	8.2%
E	4834	5.6%
h	4834	5.6%
a	4834	5.6%
c	4834	5.6%
v	2224	2.6%
p	2224	2.6%
Other values (9)	13249	15.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	86439	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	18564	21.5%
n	16726	19.4%
m	7058	8.2%
t	7058	8.2%
E	4834	5.6%
h	4834	5.6%
a	4834	5.6%
c	4834	5.6%
v	2224	2.6%
p	2224	2.6%
Other values (9)	13249	15.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	86439	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	18564	21.5%
n	16726	19.4%
m	7058	8.2%
t	7058	8.2%
E	4834	5.6%
h	4834	5.6%
a	4834	5.6%
c	4834	5.6%
v	2224	2.6%
p	2224	2.6%
Other values (9)	13249	15.3%

Tech (TF) - Development Platform
Categorical

High correlation Missing

Distinct	6
Distinct (%)	0.1%
Missing	1860
Missing (%)	26.4%
Memory size	55.3 KiB

Multi	1942
MF	1703
PC	981
MR	559
Proprietary	12

Length

Max length	11
Median length	2
Mean length	3.1429396
Min length	2

Characters and Unicode

Total characters	16337
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Multi
2nd row	Multi
3rd row	MF
4th row	Multi
5th row	MF

Common Values

Value	Count	Frequency (%)
Multi	1942	27.5%
MF	1703	24.1%
PC	981	13.9%
MR	559	7.9%
Proprietary	12	0.2%
Hand Held	1	< 0.1%
(Missing)	1860	26.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
multi	1942	37.4%
mf	1703	32.8%
pc	981	18.9%
mr	559	10.8%
proprietary	12	0.2%
hand	1	< 0.1%
held	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
M	4204	25.7%
t	1954	12.0%
i	1954	12.0%
l	1943	11.9%
u	1942	11.9%
F	1703	10.4%
P	993	6.1%
C	981	6.0%
R	559	3.4%
r	36	0.2%
Other values (9)	68	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16337	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
M	4204	25.7%
t	1954	12.0%
i	1954	12.0%
l	1943	11.9%
u	1942	11.9%
F	1703	10.4%
P	993	6.1%
C	981	6.0%
R	559	3.4%
r	36	0.2%
Other values (9)	68	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16337	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
M	4204	25.7%
t	1954	12.0%
i	1954	12.0%
l	1943	11.9%
u	1942	11.9%
F	1703	10.4%
P	993	6.1%
C	981	6.0%
R	559	3.4%
r	36	0.2%
Other values (9)	68	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16337	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
M	4204	25.7%
t	1954	12.0%
i	1954	12.0%
l	1943	11.9%
u	1942	11.9%
F	1703	10.4%
P	993	6.1%
C	981	6.0%
R	559	3.4%
r	36	0.2%
Other values (9)	68	0.4%

Tech (TF) - Language Type
Categorical

High correlation Imbalance Missing

Distinct	6
Distinct (%)	0.1%
Missing	1292
Missing (%)	18.3%
Memory size	55.3 KiB

3GL	3716
4GL	1863
ApG	155
2GL	18
5GL	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	17298
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	4GL
2nd row	3GL
3rd row	3GL
4th row	3GL
5th row	3GL

Common Values

Value	Count	Frequency (%)
3GL	3716	52.6%
4GL	1863	26.4%
ApG	155	2.2%
2GL	18	0.3%
5GL	13	0.2%
APG	1	< 0.1%
(Missing)	1292	18.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3gl	3716	64.4%
4gl	1863	32.3%
apg	156	2.7%
2gl	18	0.3%
5gl	13	0.2%

Most occurring characters

Value	Count	Frequency (%)
G	5766	33.3%
L	5610	32.4%
3	3716	21.5%
4	1863	10.8%
A	156	0.9%
p	155	0.9%
2	18	0.1%
5	13	0.1%
P	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	17298	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
G	5766	33.3%
L	5610	32.4%
3	3716	21.5%
4	1863	10.8%
A	156	0.9%
p	155	0.9%
2	18	0.1%
5	13	0.1%
P	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	17298	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
G	5766	33.3%
L	5610	32.4%
3	3716	21.5%
4	1863	10.8%
A	156	0.9%
p	155	0.9%
2	18	0.1%
5	13	0.1%
P	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	17298	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
G	5766	33.3%
L	5610	32.4%
3	3716	21.5%
4	1863	10.8%
A	156	0.9%
p	155	0.9%
2	18	0.1%
5	13	0.1%
P	1	< 0.1%

Tech (TF) - Primary Programming Language
Text

Missing

Distinct	123
Distinct (%)	2.3%
Missing	1811
Missing (%)	25.7%
Memory size	55.3 KiB

Length

Max length	35
Median length	32
Mean length	5.3421002
Min length	1

Characters and Unicode

Total characters	28030
Distinct characters	62
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38 ?
Unique (%)	0.7%

Sample

1st row	Access
2nd row	COBOL
3rd row	COBOL
4th row	Shell
5th row	Java

Value	Count	Frequency (%)
java	1081	18.5%
cobol	918	15.7%
c	671	11.5%
visual	463	7.9%
basic	432	7.4%
pl/i	360	6.2%
oracle	239	4.1%
net	194	3.3%
sql	139	2.4%
abap	103	1.8%
Other values (128)	1230	21.1%

Most occurring characters

Value	Count	Frequency (%)
a	3475	12.4%
O	2398	8.6%
L	1996	7.1%
C	1817	6.5%
B	1580	5.6%
s	1118	4.0%
v	1100	3.9%
J	1099	3.9%
i	1090	3.9%
l	1057	3.8%
Other values (52)	11300	40.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	28030	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	3475	12.4%
O	2398	8.6%
L	1996	7.1%
C	1817	6.5%
B	1580	5.6%
s	1118	4.0%
v	1100	3.9%
J	1099	3.9%
i	1090	3.9%
l	1057	3.8%
Other values (52)	11300	40.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	28030	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	3475	12.4%
O	2398	8.6%
L	1996	7.1%
C	1817	6.5%
B	1580	5.6%
s	1118	4.0%
v	1100	3.9%
J	1099	3.9%
i	1090	3.9%
l	1057	3.8%
Other values (52)	11300	40.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	28030	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	3475	12.4%
O	2398	8.6%
L	1996	7.1%
C	1817	6.5%
B	1580	5.6%
s	1118	4.0%
v	1100	3.9%
J	1099	3.9%
i	1090	3.9%
l	1057	3.8%
Other values (52)	11300	40.3%

Project (PRF) - Functional Size
Real number (ℝ)

High correlation Missing

Distinct	1160
Distinct (%)	18.9%
Missing	908
Missing (%)	12.9%
Infinite	0
Infinite (%)	0.0%
Mean	316.9335

Minimum	2
Maximum	16148
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	2
5-th percentile	13
Q1	64
median	137
Q3	323
95-th percentile	1204.4
Maximum	16148
Range	16146
Interquartile range (IQR)	259

Descriptive statistics

Standard deviation	640.30248
Coefficient of variation (CV)	2.0203055
Kurtosis	165.79925
Mean	316.9335
Median Absolute Deviation (MAD)	93
Skewness	9.7347084
Sum	1949141
Variance	409987.26
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	45	0.6%
51	44	0.6%
72	41	0.6%
12	41	0.6%
14	38	0.5%
54	38	0.5%
6	37	0.5%
4	37	0.5%
53	37	0.5%
58	36	0.5%
Other values (1150)	5756	81.6%
(Missing)	908	12.9%

Value	Count	Frequency (%)
2	4	0.1%
3	24	0.3%
4	37	0.5%
5	26	0.4%
6	37	0.5%
7	45	0.6%
8	22	0.3%
9	22	0.3%
10	26	0.4%
11	15	0.2%

Value	Count	Frequency (%)
16148	1	< 0.1%
14656	1	< 0.1%
13580	1	< 0.1%
10024	1	< 0.1%
9390	1	< 0.1%
7599	1	< 0.1%
7474	1	< 0.1%
7400	1	< 0.1%
7134	1	< 0.1%
6340	1	< 0.1%

Project (PRF) - Relative Size
Categorical

High correlation Missing

Distinct	9
Distinct (%)	0.1%
Missing	171
Missing (%)	2.4%
Memory size	55.3 KiB

M1	2327
S	1928
M2	1387
XS	543
L	391
Other values (4)	311

Length

Max length	4
Median length	2
Mean length	1.7020473
Min length	1

Characters and Unicode

Total characters	11722
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	S
2nd row	M2
3rd row	S
4th row	XXS
5th row	M2

Common Values

Value	Count	Frequency (%)
M1	2327	33.0%
S	1928	27.3%
M2	1387	19.7%
XS	543	7.7%
L	391	5.5%
XXS	255	3.6%
XL	45	0.6%
XXL	10	0.1%
XXXL	1	< 0.1%
(Missing)	171	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m1	2327	33.8%
s	1928	28.0%
m2	1387	20.1%
xs	543	7.9%
l	391	5.7%
xxs	255	3.7%
xl	45	0.7%
xxl	10	0.1%
xxxl	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
M	3714	31.7%
S	2726	23.3%
1	2327	19.9%
2	1387	11.8%
X	1121	9.6%
L	447	3.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11722	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
M	3714	31.7%
S	2726	23.3%
1	2327	19.9%
2	1387	11.8%
X	1121	9.6%
L	447	3.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11722	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
M	3714	31.7%
S	2726	23.3%
1	2327	19.9%
2	1387	11.8%
X	1121	9.6%
L	447	3.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11722	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
M	3714	31.7%
S	2726	23.3%
1	2327	19.9%
2	1387	11.8%
X	1121	9.6%
L	447	3.8%

Project (PRF) - Normalised Work Effort Level 1
Real number (ℝ)

High correlation Missing

Distinct	3792
Distinct (%)	60.3%
Missing	770
Missing (%)	10.9%
Infinite	0
Infinite (%)	0.0%
Mean	3888.2362

Minimum	4
Maximum	230514
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	4
5-th percentile	130
Q1	619
median	1550.5
Q3	3847.25
95-th percentile	14208.9
Maximum	230514
Range	230510
Interquartile range (IQR)	3228.25

Descriptive statistics

Standard deviation	8674.1671
Coefficient of variation (CV)	2.2308745
Kurtosis	167.29897
Mean	3888.2362
Median Absolute Deviation (MAD)	1175.5
Skewness	9.9098103
Sum	24449229
Variance	75241174
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40	9	0.1%
62	9	0.1%
500	9	0.1%
473	9	0.1%
620	9	0.1%
995	8	0.1%
300	8	0.1%
741	8	0.1%
304	8	0.1%
162	8	0.1%
Other values (3782)	6203	87.9%
(Missing)	770	10.9%

Value	Count	Frequency (%)
4	1	< 0.1%
6	1	< 0.1%
8	2	< 0.1%
9	3	< 0.1%
11	4	0.1%
12	2	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
15	2	< 0.1%
16	3	< 0.1%

Value	Count	Frequency (%)
230514	1	< 0.1%
202386	1	< 0.1%
141374	1	< 0.1%
134211	1	< 0.1%
126133	1	< 0.1%
115816	1	< 0.1%
106480	1	< 0.1%
104248	1	< 0.1%
92380	1	< 0.1%
89143	1	< 0.1%

Project (PRF) - Normalised Work Effort
Real number (ℝ)

High correlation

Distinct	4214
Distinct (%)	59.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4314.5584

Minimum	4
Maximum	266946
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	4
5-th percentile	144
Q1	687
median	1666
Q3	4106.75
95-th percentile	15822.15
Maximum	266946
Range	266942
Interquartile range (IQR)	3419.75

Descriptive statistics

Standard deviation	10076.658
Coefficient of variation (CV)	2.3355016
Kurtosis	166.11369
Mean	4314.5584
Median Absolute Deviation (MAD)	1245
Skewness	10.012215
Sum	30452153
Variance	1.0153904 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
995	9	0.1%
304	9	0.1%
620	9	0.1%
473	9	0.1%
62	9	0.1%
300	9	0.1%
40	8	0.1%
500	8	0.1%
840	8	0.1%
420	8	0.1%
Other values (4204)	6972	98.8%

Value	Count	Frequency (%)
4	1	< 0.1%
6	1	< 0.1%
8	2	< 0.1%
9	4	0.1%
11	4	0.1%
12	2	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
15	2	< 0.1%
16	3	< 0.1%

Value	Count	Frequency (%)
266946	1	< 0.1%
230514	1	< 0.1%
202386	1	< 0.1%
164764	1	< 0.1%
150040	1	< 0.1%
134211	1	< 0.1%
126133	1	< 0.1%
124650	1	< 0.1%
115816	1	< 0.1%
110624	1	< 0.1%

Project (PRF) - Normalised Level 1 PDR (ufp)
Real number (ℝ)

High correlation Missing

Distinct	988
Distinct (%)	18.3%
Missing	1648
Missing (%)	23.3%
Infinite	0
Infinite (%)	0.0%
Mean	30.648318

Minimum	0.1
Maximum	2816.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0.1
5-th percentile	1.8
Q1	5.4
median	11.1
Q3	23.8
95-th percentile	121.41
Maximum	2816.3
Range	2816.2
Interquartile range (IQR)	18.4

Descriptive statistics

Standard deviation	85.292971
Coefficient of variation (CV)	2.7829577
Kurtosis	292.18966
Mean	30.648318
Median Absolute Deviation (MAD)	7
Skewness	12.97931
Sum	165807.4
Variance	7274.8909
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.4	41	0.6%
3.6	39	0.6%
4.8	37	0.5%
5.6	36	0.5%
3	36	0.5%
5	36	0.5%
5.1	35	0.5%
6.3	35	0.5%
4.2	35	0.5%
3.9	35	0.5%
Other values (978)	5045	71.5%
(Missing)	1648	23.3%

Value	Count	Frequency (%)
0.1	2	< 0.1%
0.2	4	0.1%
0.3	10	0.1%
0.4	6	0.1%
0.5	9	0.1%
0.6	9	0.1%
0.7	14	0.2%
0.8	16	0.2%
0.9	14	0.2%
1	17	0.2%

Value	Count	Frequency (%)
2816.3	1	< 0.1%
1799.7	1	< 0.1%
1374.6	1	< 0.1%
1264.8	1	< 0.1%
1113.3	1	< 0.1%
1097.4	1	< 0.1%
1039.9	1	< 0.1%
1009.9	1	< 0.1%
958	1	< 0.1%
922.6	1	< 0.1%

Project (PRF) - Normalised PDR (ufp)
Real number (ℝ)

High correlation Missing

Distinct	1019
Distinct (%)	16.6%
Missing	908
Missing (%)	12.9%
Infinite	0
Infinite (%)	0.0%
Mean	29.188016

Minimum	0.1
Maximum	2816.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0.1
5-th percentile	1.9
Q1	5.7
median	11.6
Q3	23.475
95-th percentile	106.74
Maximum	2816.3
Range	2816.2
Interquartile range (IQR)	17.775

Descriptive statistics

Standard deviation	80.295994
Coefficient of variation (CV)	2.7509918
Kurtosis	328.5503
Mean	29.188016
Median Absolute Deviation (MAD)	7.1
Skewness	13.739469
Sum	179506.3
Variance	6447.4467
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	45	0.6%
4.4	43	0.6%
4.8	41	0.6%
6.3	40	0.6%
6.5	40	0.6%
3	39	0.6%
3.6	39	0.6%
9.3	38	0.5%
7.3	38	0.5%
4.5	38	0.5%
Other values (1009)	5749	81.5%
(Missing)	908	12.9%

Value	Count	Frequency (%)
0.1	3	< 0.1%
0.2	1	< 0.1%
0.3	7	0.1%
0.4	5	0.1%
0.5	8	0.1%
0.6	6	0.1%
0.7	13	0.2%
0.8	18	0.3%
0.9	16	0.2%
1	19	0.3%

Value	Count	Frequency (%)
2816.3	1	< 0.1%
1799.7	1	< 0.1%
1374.6	1	< 0.1%
1264.8	1	< 0.1%
1113.3	1	< 0.1%
1097.4	1	< 0.1%
1039.9	1	< 0.1%
1009.9	1	< 0.1%
958	1	< 0.1%
922.6	1	< 0.1%

Project (PRF) - Defect Density
Real number (ℝ)

High correlation Missing Skewed Zeros

Distinct	395
Distinct (%)	27.2%
Missing	5604
Missing (%)	79.4%
Infinite	0
Infinite (%)	0.0%
Mean	24.286657

Minimum	0
Maximum	4236.8
Zeros	761
Zeros (%)	10.8%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	17.2
95-th percentile	80.525
Maximum	4236.8
Range	4236.8
Interquartile range (IQR)	17.2

Descriptive statistics

Standard deviation	137.52385
Coefficient of variation (CV)	5.662527
Kurtosis	637.45574
Mean	24.286657
Median Absolute Deviation (MAD)	0
Skewness	22.615703
Sum	35312.8
Variance	18912.811
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	761	10.8%
2.1	7	0.1%
3.7	6	0.1%
3.6	6	0.1%
11.1	6	0.1%
5.8	6	0.1%
22.7	6	0.1%
16.5	5	0.1%
55.6	5	0.1%
8	5	0.1%
Other values (385)	641	9.1%
(Missing)	5604	79.4%

Value	Count	Frequency (%)
0	761	10.8%
0.6	2	< 0.1%
0.8	1	< 0.1%
0.9	3	< 0.1%
1	1	< 0.1%
1.2	2	< 0.1%
1.3	3	< 0.1%
1.4	2	< 0.1%
1.5	1	< 0.1%
1.6	2	< 0.1%

Value	Count	Frequency (%)
4236.8	1	< 0.1%
1936	1	< 0.1%
1120.7	1	< 0.1%
1111.1	1	< 0.1%
593.6	1	< 0.1%
558.1	1	< 0.1%
465.5	1	< 0.1%
411.3	1	< 0.1%
397.4	1	< 0.1%
388.9	1	< 0.1%

Project (PRF) - Speed of Delivery
Real number (ℝ)

High correlation Missing

Distinct	1414
Distinct (%)	26.0%
Missing	1619
Missing (%)	22.9%
Infinite	0
Infinite (%)	0.0%
Mean	49.783747

Minimum	0.2
Maximum	2000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0.2
5-th percentile	1.5
Q1	12
median	26.6
Q3	57
95-th percentile	163.82
Maximum	2000
Range	1999.8
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	81.913083
Coefficient of variation (CV)	1.645378
Kurtosis	115.81085
Mean	49.783747
Median Absolute Deviation (MAD)	18.2
Skewness	7.7767388
Sum	270773.8
Variance	6709.7531
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.3	27	0.4%
1.1	26	0.4%
1	24	0.3%
0.8	23	0.3%
0.9	22	0.3%
10	22	0.3%
0.6	22	0.3%
2.3	21	0.3%
5	21	0.3%
1.2	20	0.3%
Other values (1404)	5211	73.8%
(Missing)	1619	22.9%

Value	Count	Frequency (%)
0.2	9	0.1%
0.3	11	0.2%
0.4	13	0.2%
0.5	19	0.3%
0.6	22	0.3%
0.7	19	0.3%
0.8	23	0.3%
0.9	22	0.3%
1	24	0.3%
1.1	26	0.4%

Value	Count	Frequency (%)
2000	1	< 0.1%
1550	1	< 0.1%
1480.4	1	< 0.1%
970	1	< 0.1%
949.9	1	< 0.1%
897.3	1	< 0.1%
724.4	1	< 0.1%
707.5	1	< 0.1%
681.7	1	< 0.1%
672.4	1	< 0.1%

Project (PRF) - Manpower Delivery Rate
Real number (ℝ)

High correlation Missing Zeros

Distinct	392
Distinct (%)	19.4%
Missing	5039
Missing (%)	71.4%
Infinite	0
Infinite (%)	0.0%
Mean	10.03264

Minimum	0
Maximum	293.5
Zeros	217
Zeros (%)	3.1%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.6
median	4
Q3	10.5
95-th percentile	39.91
Maximum	293.5
Range	293.5
Interquartile range (IQR)	9.9

Descriptive statistics

Standard deviation	19.856483
Coefficient of variation (CV)	1.9791882
Kurtosis	51.365931
Mean	10.03264
Median Absolute Deviation (MAD)	3.9
Skewness	5.7641177
Sum	20255.9
Variance	394.27991
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	217	3.1%
0.1	157	2.2%
0.2	55	0.8%
0.3	31	0.4%
1.3	30	0.4%
4	24	0.3%
2	23	0.3%
2.5	21	0.3%
0.9	21	0.3%
0.8	21	0.3%
Other values (382)	1419	20.1%
(Missing)	5039	71.4%

Value	Count	Frequency (%)
0	217	3.1%
0.1	157	2.2%
0.2	55	0.8%
0.3	31	0.4%
0.4	19	0.3%
0.5	18	0.3%
0.6	10	0.1%
0.7	15	0.2%
0.8	21	0.3%
0.9	21	0.3%

Value	Count	Frequency (%)
293.5	1	< 0.1%
258.3	1	< 0.1%
200	1	< 0.1%
194.7	1	< 0.1%
186	1	< 0.1%
151.7	1	< 0.1%
148	1	< 0.1%
139.5	1	< 0.1%
138.4	1	< 0.1%
137.8	1	< 0.1%

Project (PRF) - Project Elapsed Time
Real number (ℝ)

High correlation Missing

Distinct	308
Distinct (%)	5.0%
Missing	859
Missing (%)	12.2%
Infinite	0
Infinite (%)	0.0%
Mean	7.7801387

Minimum	0.03
Maximum	87
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0.03
5-th percentile	1.2
Q1	3.2
median	6
Q3	10
95-th percentile	21
Maximum	87
Range	86.97
Interquartile range (IQR)	6.8

Descriptive statistics

Standard deviation	6.9621346
Coefficient of variation (CV)	0.89485996
Kurtosis	19.731714
Mean	7.7801387
Median Absolute Deviation (MAD)	3
Skewness	3.1535169
Sum	48229.08
Variance	48.471318
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	382	5.4%
6	336	4.8%
5	297	4.2%
4	297	4.2%
8	226	3.2%
7	223	3.2%
2	208	2.9%
12	207	2.9%
9	194	2.7%
10	186	2.6%
Other values (298)	3643	51.6%
(Missing)	859	12.2%

Value	Count	Frequency (%)
0.03	1	< 0.1%
0.09	1	< 0.1%
0.1	3	< 0.1%
0.12	1	< 0.1%
0.15	1	< 0.1%
0.16	1	< 0.1%
0.18	1	< 0.1%
0.2	8	0.1%
0.25	5	0.1%
0.26	1	< 0.1%

Value	Count	Frequency (%)
87	2	< 0.1%
85.2	1	< 0.1%
84	1	< 0.1%
81	1	< 0.1%
78	1	< 0.1%
65	1	< 0.1%
56.9	1	< 0.1%
55	1	< 0.1%
54.3	1	< 0.1%
54	1	< 0.1%

Project (PRF) - Team Size Group
Categorical

High correlation Missing

Distinct	15
Distinct (%)	0.7%
Missing	4817
Missing (%)	68.2%
Memory size	55.3 KiB

5-8	585
3-4	356
9-14	335
2	175
15-20	156
Other values (10)	634

Length

Max length	6
Median length	5
Mean length	3.4203481
Min length	1

Characters and Unicode

Total characters	7665
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	101+
2nd row	81-90
3rd row	81-90
4th row	5-8
5th row	5-8

Common Values

Value	Count	Frequency (%)
5-8	585	8.3%
3-4	356	5.0%
9-14	335	4.7%
2	175	2.5%
15-20	156	2.2%
21-30	149	2.1%
1	146	2.1%
31-40	94	1.3%
41-50	56	0.8%
101+	53	0.8%
Other values (5)	136	1.9%
(Missing)	4817	68.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
5-8	585	26.1%
3-4	356	15.9%
9-14	335	14.9%
2	175	7.8%
15-20	156	7.0%
21-30	149	6.6%
1	146	6.5%
31-40	94	4.2%
41-50	56	2.5%
101	53	2.4%
Other values (5)	136	6.1%

Most occurring characters

Value	Count	Frequency (%)
-	1867	24.4%
1	1192	15.6%
4	841	11.0%
5	835	10.9%
0	658	8.6%
8	636	8.3%
3	599	7.8%
2	480	6.3%
9	376	4.9%
6	71	0.9%
Other values (2)	110	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7665	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	1867	24.4%
1	1192	15.6%
4	841	11.0%
5	835	10.9%
0	658	8.6%
8	636	8.3%
3	599	7.8%
2	480	6.3%
9	376	4.9%
6	71	0.9%
Other values (2)	110	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7665	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	1867	24.4%
1	1192	15.6%
4	841	11.0%
5	835	10.9%
0	658	8.6%
8	636	8.3%
3	599	7.8%
2	480	6.3%
9	376	4.9%
6	71	0.9%
Other values (2)	110	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7665	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	1867	24.4%
1	1192	15.6%
4	841	11.0%
5	835	10.9%
0	658	8.6%
8	636	8.3%
3	599	7.8%
2	480	6.3%
9	376	4.9%
6	71	0.9%
Other values (2)	110	1.4%

Project (PRF) - Max Team Size
Real number (ℝ)

High correlation Missing

Distinct	161
Distinct (%)	7.2%
Missing	4817
Missing (%)	68.2%
Infinite	0
Infinite (%)	0.0%
Mean	17.103235

Minimum	0.3
Maximum	309
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0.3
5-th percentile	1
Q1	4
median	7
Q3	17
95-th percentile	72
Maximum	309
Range	308.7
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	26.679857
Coefficient of variation (CV)	1.5599304
Kurtosis	18.542057
Mean	17.103235
Median Absolute Deviation (MAD)	4
Skewness	3.6290395
Sum	38328.35
Variance	711.81475
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	193	2.7%
4	183	2.6%
2	171	2.4%
3	162	2.3%
6	143	2.0%
1	140	2.0%
7	133	1.9%
8	106	1.5%
10	81	1.1%
9	79	1.1%
Other values (151)	850	12.0%
(Missing)	4817	68.2%

Value	Count	Frequency (%)
0.3	1	< 0.1%
0.5	1	< 0.1%
0.6	1	< 0.1%
0.95	1	< 0.1%
1	140	2.0%
1.5	2	< 0.1%
1.65	1	< 0.1%
1.75	1	< 0.1%
2	171	2.4%
2.1	1	< 0.1%

Value	Count	Frequency (%)
309	1	< 0.1%
253	1	< 0.1%
205	1	< 0.1%
193	1	< 0.1%
188	1	< 0.1%
186	1	< 0.1%
176	1	< 0.1%
172	1	< 0.1%
163	1	< 0.1%
156	1	< 0.1%

- CASE Tool Used
Categorical

High correlation Missing

Distinct	3
Distinct (%)	0.1%
Missing	4887
Missing (%)	69.2%
Memory size	55.3 KiB

No	1021
Yes	836
Don't Know	314

Length

Max length	10
Median length	3
Mean length	3.5421465
Min length	2

Characters and Unicode

Total characters	7690
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	Yes
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	1021	14.5%
Yes	836	11.8%
Don't Know	314	4.4%
(Missing)	4887	69.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	1021	41.1%
yes	836	33.6%
don't	314	12.6%
know	314	12.6%

Most occurring characters

Value	Count	Frequency (%)
o	1649	21.4%
N	1021	13.3%
Y	836	10.9%
e	836	10.9%
s	836	10.9%
n	628	8.2%
D	314	4.1%
'	314	4.1%
t	314	4.1%
	314	4.1%
Other values (2)	628	8.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7690	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	1649	21.4%
N	1021	13.3%
Y	836	10.9%
e	836	10.9%
s	836	10.9%
n	628	8.2%
D	314	4.1%
'	314	4.1%
t	314	4.1%
	314	4.1%
Other values (2)	628	8.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7690	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	1649	21.4%
N	1021	13.3%
Y	836	10.9%
e	836	10.9%
s	836	10.9%
n	628	8.2%
D	314	4.1%
'	314	4.1%
t	314	4.1%
	314	4.1%
Other values (2)	628	8.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7690	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	1649	21.4%
N	1021	13.3%
Y	836	10.9%
e	836	10.9%
s	836	10.9%
n	628	8.2%
D	314	4.1%
'	314	4.1%
t	314	4.1%
	314	4.1%
Other values (2)	628	8.2%

Process (PMF) - Development Methodologies
Categorical

High correlation Imbalance Missing

Distinct	34
Distinct (%)	1.3%
Missing	4488
Missing (%)	63.6%
Memory size	55.3 KiB

Waterfall (incl Linear Processing & SSADM);	2106
Rapid Application Development (RAD);	100
Joint Application Development (JAD);	75
Multifunctional Teams;	73
Agile Development;	66
Other values (29)	150

Length

Max length	105
Median length	43
Mean length	41.538911
Min length	5

Characters and Unicode

Total characters	106755
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	0.4%

Sample

1st row	Waterfall (incl Linear Processing & SSADM);
2nd row	Waterfall (incl Linear Processing & SSADM);
3rd row	Waterfall (incl Linear Processing & SSADM);
4th row	Waterfall (incl Linear Processing & SSADM);
5th row	Waterfall (incl Linear Processing & SSADM);

Common Values

Value	Count	Frequency (%)
Waterfall (incl Linear Processing & SSADM);	2106	29.8%
Rapid Application Development (RAD);	100	1.4%
Joint Application Development (JAD);	75	1.1%
Multifunctional Teams;	73	1.0%
Agile Development;	66	0.9%
Joint Application Development (JAD);Multifunctional Teams;	32	0.5%
Joint Application Development (JAD);Rapid Application Development (RAD);	24	0.3%
Timeboxing;	19	0.3%
Incremental;	9	0.1%
Agile Development;Personal Software Process (PSP);Unified Process;	6	0.1%
Other values (24)	60	0.9%
(Missing)	4488	63.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
incl	2111	14.8%
ssadm	2111	14.8%
linear	2111	14.8%
processing	2111	14.8%
	2111	14.8%
waterfall	2106	14.8%
development	354	2.5%
application	288	2.0%
joint	144	1.0%
rad	134	0.9%
Other values (36)	678	4.8%

Most occurring characters

Value	Count	Frequency (%)
	11689	10.9%
e	7778	7.3%
i	7657	7.2%
n	7482	7.0%
l	7350	6.9%
a	7073	6.6%
r	6414	6.0%
c	4687	4.4%
s	4434	4.2%
S	4252	4.0%
Other values (29)	37939	35.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	106755	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	11689	10.9%
e	7778	7.3%
i	7657	7.2%
n	7482	7.0%
l	7350	6.9%
a	7073	6.6%
r	6414	6.0%
c	4687	4.4%
s	4434	4.2%
S	4252	4.0%
Other values (29)	37939	35.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	106755	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	11689	10.9%
e	7778	7.3%
i	7657	7.2%
n	7482	7.0%
l	7350	6.9%
a	7073	6.6%
r	6414	6.0%
c	4687	4.4%
s	4434	4.2%
S	4252	4.0%
Other values (29)	37939	35.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	106755	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	11689	10.9%
e	7778	7.3%
i	7657	7.2%
n	7482	7.0%
l	7350	6.9%
a	7073	6.6%
r	6414	6.0%
c	4687	4.4%
s	4434	4.2%
S	4252	4.0%
Other values (29)	37939	35.5%

Process (PMF) - Prototyping Used
Boolean

Constant Missing

Distinct	1
Distinct (%)	0.1%
Missing	6043
Missing (%)	85.6%
Memory size	13.9 KiB

True	1015
(Missing)	6043

Value	Count	Frequency (%)
True	1015	14.4%
(Missing)	6043	85.6%

Process (PMF) - Docs
Real number (ℝ)

High correlation Zeros

Distinct	20
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.1160385

Minimum	0
Maximum	19
Zeros	90
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	11
Maximum	19
Range	19
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.0316914
Coefficient of variation (CV)	0.73655564
Kurtosis	5.143464
Mean	4.1160385
Median Absolute Deviation (MAD)	1
Skewness	2.2593934
Sum	29051
Variance	9.1911527
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
3	2616	37.1%
2	1760	24.9%
4	944	13.4%
8	472	6.7%
5	422	6.0%
6	177	2.5%
14	115	1.6%
15	99	1.4%
9	95	1.3%
0	90	1.3%
Other values (10)	268	3.8%

Value	Count	Frequency (%)
0	90	1.3%
1	25	0.4%
2	1760	24.9%
3	2616	37.1%
4	944	13.4%
5	422	6.0%
6	177	2.5%
7	34	0.5%
8	472	6.7%
9	95	1.3%

Value	Count	Frequency (%)
19	1	< 0.1%
18	15	0.2%
17	9	0.1%
16	38	0.5%
15	99	1.4%
14	115	1.6%
13	41	0.6%
12	33	0.5%
11	47	0.7%
10	25	0.4%

Tech (TF) - Architecture
Categorical

High correlation Missing

Distinct	4
Distinct (%)	0.1%
Missing	4323
Missing (%)	61.2%
Memory size	55.3 KiB

Yes	1681
No	725
Don't Know	326
Not Applicable	3

Length

Max length	14
Median length	3
Mean length	3.5813528
Min length	2

Characters and Unicode

Total characters	9795
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Yes
2nd row	Yes
3rd row	Yes
4th row	Don't Know
5th row	No

Common Values

Value	Count	Frequency (%)
Yes	1681	23.8%
No	725	10.3%
Don't Know	326	4.6%
Not Applicable	3	< 0.1%
(Missing)	4323	61.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	1681	54.9%
no	725	23.7%
don't	326	10.6%
know	326	10.6%
not	3	0.1%
applicable	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	1684	17.2%
Y	1681	17.2%
s	1681	17.2%
o	1380	14.1%
N	728	7.4%
n	652	6.7%
t	329	3.4%
	329	3.4%
'	326	3.3%
D	326	3.3%
Other values (9)	679	6.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9795	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1684	17.2%
Y	1681	17.2%
s	1681	17.2%
o	1380	14.1%
N	728	7.4%
n	652	6.7%
t	329	3.4%
	329	3.4%
'	326	3.3%
D	326	3.3%
Other values (9)	679	6.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9795	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1684	17.2%
Y	1681	17.2%
s	1681	17.2%
o	1380	14.1%
N	728	7.4%
n	652	6.7%
t	329	3.4%
	329	3.4%
'	326	3.3%
D	326	3.3%
Other values (9)	679	6.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9795	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1684	17.2%
Y	1681	17.2%
s	1681	17.2%
o	1380	14.1%
N	728	7.4%
n	652	6.7%
t	329	3.4%
	329	3.4%
'	326	3.3%
D	326	3.3%
Other values (9)	679	6.9%

Tech (TF) - Client Server?
Text

Missing

Distinct	60
Distinct (%)	21.5%
Missing	6779
Missing (%)	96.0%
Memory size	55.3 KiB

Length

Max length	166
Median length	112
Mean length	65.648746
Min length	10

Characters and Unicode

Total characters	18316
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	9.3%

Sample

1st row	Run a computer-human interface;Data entry & validation;Web/HTML browser;
2nd row	Web/HTML browser;
3rd row	Run a computer-human interface;Business logic or rule processing;Data entry & validation;Data retrieval & presentation;Web/HTML browser;Web public interface;
4th row	Web/HTML browser;
5th row	Run a computer-human interface;Data entry & validation;Data retrieval & presentation;

Value	Count	Frequency (%)
	299	14.4%
retrieval	157	7.5%
entry	142	6.8%
run	118	5.7%
a	118	5.7%
computer-human	118	5.7%
validation;data	105	5.0%
browser	103	4.9%
presentation	94	4.5%
or	86	4.1%
Other values (41)	741	35.6%

Most occurring characters

Value	Count	Frequency (%)
e	1881	10.3%
	1802	9.8%
a	1618	8.8%
r	1433	7.8%
t	1382	7.5%
n	1209	6.6%
i	1115	6.1%
o	821	4.5%
s	720	3.9%
;	706	3.9%
Other values (28)	5629	30.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18316	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1881	10.3%
	1802	9.8%
a	1618	8.8%
r	1433	7.8%
t	1382	7.5%
n	1209	6.6%
i	1115	6.1%
o	821	4.5%
s	720	3.9%
;	706	3.9%
Other values (28)	5629	30.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18316	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1881	10.3%
	1802	9.8%
a	1618	8.8%
r	1433	7.8%
t	1382	7.5%
n	1209	6.6%
i	1115	6.1%
o	821	4.5%
s	720	3.9%
;	706	3.9%
Other values (28)	5629	30.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18316	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1881	10.3%
	1802	9.8%
a	1618	8.8%
r	1433	7.8%
t	1382	7.5%
n	1209	6.6%
i	1115	6.1%
o	821	4.5%
s	720	3.9%
;	706	3.9%
Other values (28)	5629	30.7%

Tech (TF) - Client Roles
Text

Missing

Distinct	81
Distinct (%)	30.3%
Missing	6791
Missing (%)	96.2%
Memory size	55.3 KiB

Length

Max length	157
Median length	103
Mean length	56.737828
Min length	9

Characters and Unicode

Total characters	15149
Distinct characters	48
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	40 ?
Unique (%)	15.0%

Sample

1st row	Database server;HTML/web server;Mail server;Security/authentication;
2nd row	Database server;
3rd row	Database server;Mail server;Security/authentication;
4th row	Database server;FTP server;HTML/web server;Mail server;Messaging server;Object/component server;Security/authentication;
5th row	Database server;FTP server;HTML/web server;Mail server;Security/authentication;

Value	Count	Frequency (%)
database	218	20.2%
server;security/authentication	115	10.7%
server;html/web	113	10.5%
server	82	7.6%
legacy	55	5.1%
server;file	51	4.7%
or	51	4.7%
print	51	4.7%
server;object/component	48	4.4%
server;multi-user	44	4.1%
Other values (38)	251	23.3%

Most occurring characters

Value	Count	Frequency (%)
e	2134	14.1%
r	1474	9.7%
a	1211	8.0%
t	1088	7.2%
s	945	6.2%
	812	5.4%
i	805	5.3%
;	798	5.3%
v	586	3.9%
n	567	3.7%
Other values (38)	4729	31.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15149	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2134	14.1%
r	1474	9.7%
a	1211	8.0%
t	1088	7.2%
s	945	6.2%
	812	5.4%
i	805	5.3%
;	798	5.3%
v	586	3.9%
n	567	3.7%
Other values (38)	4729	31.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15149	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2134	14.1%
r	1474	9.7%
a	1211	8.0%
t	1088	7.2%
s	945	6.2%
	812	5.4%
i	805	5.3%
;	798	5.3%
v	586	3.9%
n	567	3.7%
Other values (38)	4729	31.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15149	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2134	14.1%
r	1474	9.7%
a	1211	8.0%
t	1088	7.2%
s	945	6.2%
	812	5.4%
i	805	5.3%
;	798	5.3%
v	586	3.9%
n	567	3.7%
Other values (38)	4729	31.2%

Tech (TF) - Server Roles
Categorical

High correlation Missing

Distinct	42
Distinct (%)	3.1%
Missing	5693
Missing (%)	80.7%
Memory size	55.3 KiB

Client server;	291
C/S;	289
Client Server;	236
Web;	182
Mainframe;	69
Other values (37)	298

Length

Max length	62
Median length	59
Mean length	14.872527
Min length	4

Characters and Unicode

Total characters	20301
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	0.9%

Sample

1st row	C/S;
2nd row	C/S;
3rd row	C/S;
4th row	C/S;
5th row	Client Server;

Common Values

Value	Count	Frequency (%)
Client server;	291	4.1%
C/S;	289	4.1%
Client Server;	236	3.3%
Web;	182	2.6%
Mainframe;	69	1.0%
Unix;Client: presentation, processing;	46	0.7%
Browser-server Architecture;	34	0.5%
Unix;Client: presentation; Server: processing;	26	0.4%
Multi-tier with web public interface;	24	0.3%
Stand alone;	21	0.3%
Other values (32)	147	2.1%
(Missing)	5693	80.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
server	610	23.8%
client	532	20.8%
c/s	289	11.3%
web	206	8.0%
presentation	156	6.1%
processing	156	6.1%
unix;client	84	3.3%
mainframe	69	2.7%
architecture	46	1.8%
lan	44	1.7%
Other values (38)	369	14.4%

Most occurring characters

Value	Count	Frequency (%)
e	3123	15.4%
r	2023	10.0%
;	1604	7.9%
n	1485	7.3%
i	1409	6.9%
t	1284	6.3%
	1196	5.9%
C	985	4.9%
s	907	4.5%
l	776	3.8%
Other values (39)	5509	27.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20301	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	3123	15.4%
r	2023	10.0%
;	1604	7.9%
n	1485	7.3%
i	1409	6.9%
t	1284	6.3%
	1196	5.9%
C	985	4.9%
s	907	4.5%
l	776	3.8%
Other values (39)	5509	27.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20301	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	3123	15.4%
r	2023	10.0%
;	1604	7.9%
n	1485	7.3%
i	1409	6.9%
t	1284	6.3%
	1196	5.9%
C	985	4.9%
s	907	4.5%
l	776	3.8%
Other values (39)	5509	27.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20301	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	3123	15.4%
r	2023	10.0%
;	1604	7.9%
n	1485	7.3%
i	1409	6.9%
t	1284	6.3%
	1196	5.9%
C	985	4.9%
s	907	4.5%
l	776	3.8%
Other values (39)	5509	27.1%

Tech (TF) - Type of Server
Categorical

High correlation Missing

Distinct	9
Distinct (%)	1.5%
Missing	6474
Missing (%)	91.7%
Memory size	55.3 KiB

Client server;	291
Unix;	89
Mainframe;	86
LAN Based;	44
Multi-tier with web public interface;	24
Other values (4)	50

Length

Max length	37
Median length	21
Mean length	12.77911
Min length	5

Characters and Unicode

Total characters	7463
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Client server;
2nd row	LAN Based;
3rd row	Stand alone;
4th row	Unix;
5th row	Proprietary Midrange;

Common Values

Value	Count	Frequency (%)
Client server;	291	4.1%
Unix;	89	1.3%
Mainframe;	86	1.2%
LAN Based;	44	0.6%
Multi-tier with web public interface;	24	0.3%
Stand alone;	21	0.3%
Proprietary Midrange;	20	0.3%
back-end;	6	0.1%
webserver;	3	< 0.1%
(Missing)	6474	91.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
client	291	27.6%
server	291	27.6%
unix	89	8.4%
mainframe	86	8.1%
lan	44	4.2%
based	44	4.2%
interface	24	2.3%
public	24	2.3%
web	24	2.3%
with	24	2.3%
Other values (7)	115	10.9%

Most occurring characters

Value	Count	Frequency (%)
e	1175	15.7%
r	802	10.7%
i	626	8.4%
;	584	7.8%
n	558	7.5%
	472	6.3%
t	428	5.7%
l	360	4.8%
s	338	4.5%
a	328	4.4%
Other values (25)	1792	24.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7463	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1175	15.7%
r	802	10.7%
i	626	8.4%
;	584	7.8%
n	558	7.5%
	472	6.3%
t	428	5.7%
l	360	4.8%
s	338	4.5%
a	328	4.4%
Other values (25)	1792	24.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7463	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1175	15.7%
r	802	10.7%
i	626	8.4%
;	584	7.8%
n	558	7.5%
	472	6.3%
t	428	5.7%
l	360	4.8%
s	338	4.5%
a	328	4.4%
Other values (25)	1792	24.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7463	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1175	15.7%
r	802	10.7%
i	626	8.4%
;	584	7.8%
n	558	7.5%
	472	6.3%
t	428	5.7%
l	360	4.8%
s	338	4.5%
a	328	4.4%
Other values (25)	1792	24.0%

Tech (TF) - Client/Server Description
Categorical

High correlation Missing

Distinct	25
Distinct (%)	2.7%
Missing	6115
Missing (%)	86.6%
Memory size	55.3 KiB

C/S;	289
Client Server;	236
Web;	182
Client: presentation; Server: processing;	75
Client: presentation, processing;	63
Other values (20)	98

Length

Max length	55
Median length	4
Mean length	13.613998
Min length	4

Characters and Unicode

Total characters	12838
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	1.1%

Sample

1st row	C/S;
2nd row	C/S;
3rd row	C/S;
4th row	C/S;
5th row	Client Server;

Common Values

Value	Count	Frequency (%)
C/S;	289	4.1%
Client Server;	236	3.3%
Web;	182	2.6%
Client: presentation; Server: processing;	75	1.1%
Client: presentation, processing;	63	0.9%
Browser-server Architecture;	34	0.5%
Client: presentation, processing, data;	16	0.2%
Client-server Architecture;	11	0.2%
Stand-alone;	9	0.1%
Presentation & Logic on server;	6	0.1%
Other values (15)	22	0.3%
(Missing)	6115	86.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
client	393	23.6%
server	319	19.1%
c/s	289	17.3%
web	182	10.9%
presentation	163	9.8%
processing	156	9.4%
architecture	46	2.8%
browser-server	34	2.0%
data	18	1.1%
client-server	13	0.8%
Other values (20)	54	3.2%

Most occurring characters

Value	Count	Frequency (%)
e	1948	15.2%
r	1221	9.5%
;	1020	7.9%
n	927	7.2%
t	856	6.7%
i	783	6.1%
	724	5.6%
C	694	5.4%
S	610	4.8%
s	569	4.4%
Other values (35)	3486	27.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12838	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1948	15.2%
r	1221	9.5%
;	1020	7.9%
n	927	7.2%
t	856	6.7%
i	783	6.1%
	724	5.6%
C	694	5.4%
S	610	4.8%
s	569	4.4%
Other values (35)	3486	27.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12838	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1948	15.2%
r	1221	9.5%
;	1020	7.9%
n	927	7.2%
t	856	6.7%
i	783	6.1%
	724	5.6%
C	694	5.4%
S	610	4.8%
s	569	4.4%
Other values (35)	3486	27.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12838	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1948	15.2%
r	1221	9.5%
;	1020	7.9%
n	927	7.2%
t	856	6.7%
i	783	6.1%
	724	5.6%
C	694	5.4%
S	610	4.8%
s	569	4.4%
Other values (35)	3486	27.2%

Tech (TF) - Web Development
Categorical

High correlation Imbalance Missing

Distinct	2
Distinct (%)	0.2%
Missing	6054
Missing (%)	85.8%
Memory size	55.3 KiB

Web	1002
Web?	2

Length

Max length	4
Median length	3
Mean length	3.001992
Min length	3

Characters and Unicode

Total characters	3014
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Web
2nd row	Web
3rd row	Web
4th row	Web
5th row	Web

Common Values

Value	Count	Frequency (%)
Web	1002	14.2%
Web?	2	< 0.1%
(Missing)	6054	85.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
web	1004	100.0%

Most occurring characters

Value	Count	Frequency (%)
W	1004	33.3%
e	1004	33.3%
b	1004	33.3%
?	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3014	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
W	1004	33.3%
e	1004	33.3%
b	1004	33.3%
?	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3014	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
W	1004	33.3%
e	1004	33.3%
b	1004	33.3%
?	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3014	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
W	1004	33.3%
e	1004	33.3%
b	1004	33.3%
?	2	0.1%

Tech (TF) - DBMS Used
Boolean

High correlation Imbalance Missing

Distinct	2
Distinct (%)	0.1%
Missing	3735
Missing (%)	52.9%
Memory size	13.9 KiB

True	3269
False	54
(Missing)	3735

Value	Count	Frequency (%)
True	3269	46.3%
False	54	0.8%
(Missing)	3735	52.9%

Tech (TF) - Tools Used
Real number (ℝ)

High correlation Missing Zeros

Distinct	13
Distinct (%)	0.3%
Missing	2618
Missing (%)	37.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.92815315

Minimum	0
Maximum	17
Zeros	3063
Zeros (%)	43.4%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	4
Maximum	17
Range	17
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.731991
Coefficient of variation (CV)	1.8660617
Kurtosis	6.4876061
Mean	0.92815315
Median Absolute Deviation (MAD)	0
Skewness	2.3313639
Sum	4121
Variance	2.9997929
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	3063	43.4%
2	573	8.1%
4	285	4.0%
1	213	3.0%
3	120	1.7%
6	48	0.7%
8	47	0.7%
5	41	0.6%
7	35	0.5%
9	10	0.1%
Other values (3)	5	0.1%
(Missing)	2618	37.1%

Value	Count	Frequency (%)
0	3063	43.4%
1	213	3.0%
2	573	8.1%
3	120	1.7%
4	285	4.0%
5	41	0.6%
6	48	0.7%
7	35	0.5%
8	47	0.7%
9	10	0.1%

Value	Count	Frequency (%)
17	1	< 0.1%
11	1	< 0.1%
10	3	< 0.1%
9	10	0.1%
8	47	0.7%
7	35	0.5%
6	48	0.7%
5	41	0.6%
4	285	4.0%
3	120	1.7%

People (PRF) - Project user involvement
Categorical

High correlation Missing

Distinct	5
Distinct (%)	0.7%
Missing	6380
Missing (%)	90.4%
Memory size	55.3 KiB

Yes	477
Don't Know	144
No	54
Best	2
Low	1

Length

Max length	10
Median length	3
Mean length	4.4100295
Min length	2

Characters and Unicode

Total characters	2990
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Don't Know
2nd row	Yes
3rd row	Yes
4th row	Yes
5th row	Yes

Common Values

Value	Count	Frequency (%)
Yes	477	6.8%
Don't Know	144	2.0%
No	54	0.8%
Best	2	< 0.1%
Low	1	< 0.1%
(Missing)	6380	90.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	477	58.0%
don't	144	17.5%
know	144	17.5%
no	54	6.6%
best	2	0.2%
low	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	479	16.0%
s	479	16.0%
Y	477	16.0%
o	343	11.5%
n	288	9.6%
t	146	4.9%
w	145	4.8%
D	144	4.8%
'	144	4.8%
	144	4.8%
Other values (4)	201	6.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2990	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	479	16.0%
s	479	16.0%
Y	477	16.0%
o	343	11.5%
n	288	9.6%
t	146	4.9%
w	145	4.8%
D	144	4.8%
'	144	4.8%
	144	4.8%
Other values (4)	201	6.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2990	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	479	16.0%
s	479	16.0%
Y	477	16.0%
o	343	11.5%
n	288	9.6%
t	146	4.9%
w	145	4.8%
D	144	4.8%
'	144	4.8%
	144	4.8%
Other values (4)	201	6.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2990	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	479	16.0%
s	479	16.0%
Y	477	16.0%
o	343	11.5%
n	288	9.6%
t	146	4.9%
w	145	4.8%
D	144	4.8%
'	144	4.8%
	144	4.8%
Other values (4)	201	6.7%

People (PRF) - BA team experience <1 yr
Real number (ℝ)

High correlation Missing Zeros

Distinct	22
Distinct (%)	8.0%
Missing	6784
Missing (%)	96.1%
Infinite	0
Infinite (%)	0.0%
Mean	3.0620438

Minimum	0
Maximum	31
Zeros	79
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1.5
Q3	4
95-th percentile	11.7
Maximum	31
Range	31
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.627496
Coefficient of variation (CV)	1.5112442
Kurtosis	12.792639
Mean	3.0620438
Median Absolute Deviation (MAD)	1.5
Skewness	3.1689444
Sum	839
Variance	21.413719
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
0	79	1.1%
1	58	0.8%
2	38	0.5%
4	22	0.3%
3	20	0.3%
5	13	0.2%
6	11	0.2%
7	7	0.1%
8	4	0.1%
9	4	0.1%
Other values (12)	18	0.3%
(Missing)	6784	96.1%

Value	Count	Frequency (%)
0	79	1.1%
1	58	0.8%
2	38	0.5%
3	20	0.3%
4	22	0.3%
5	13	0.2%
6	11	0.2%
7	7	0.1%
8	4	0.1%
9	4	0.1%

Value	Count	Frequency (%)
31	1	< 0.1%
30	1	< 0.1%
27	1	< 0.1%
23	1	< 0.1%
19	2	< 0.1%
17	1	< 0.1%
16	1	< 0.1%
15	2	< 0.1%
14	2	< 0.1%
13	2	< 0.1%

People (PRF) - BA team experience 1 to 3 yr
Real number (ℝ)

High correlation Missing Zeros

Distinct	17
Distinct (%)	5.8%
Missing	6764
Missing (%)	95.8%
Infinite	0
Infinite (%)	0.0%
Mean	2.7244898

Minimum	0
Maximum	40
Zeros	74
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.25
median	2
Q3	3
95-th percentile	7
Maximum	40
Range	40
Interquartile range (IQR)	2.75

Descriptive statistics

Standard deviation	4.5119045
Coefficient of variation (CV)	1.6560548
Kurtosis	38.469734
Mean	2.7244898
Median Absolute Deviation (MAD)	1.5
Skewness	5.4812788
Sum	801
Variance	20.357282
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0	74	1.0%
1	62	0.9%
2	51	0.7%
3	34	0.5%
4	23	0.3%
5	21	0.3%
6	11	0.2%
7	5	0.1%
10	3	< 0.1%
8	2	< 0.1%
Other values (7)	8	0.1%
(Missing)	6764	95.8%

Value	Count	Frequency (%)
0	74	1.0%
1	62	0.9%
2	51	0.7%
3	34	0.5%
4	23	0.3%
5	21	0.3%
6	11	0.2%
7	5	0.1%
8	2	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
40	2	< 0.1%
32	1	< 0.1%
25	1	< 0.1%
17	1	< 0.1%
15	1	< 0.1%
13	1	< 0.1%
10	3	< 0.1%
9	1	< 0.1%
8	2	< 0.1%
7	5	0.1%

People (PRF) - BA team experience >3 yr
Real number (ℝ)

High correlation Missing

Distinct	20
Distinct (%)	5.5%
Missing	6697
Missing (%)	94.9%
Infinite	0
Infinite (%)	0.0%
Mean	3.9972299

Minimum	0
Maximum	25
Zeros	39
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	5
95-th percentile	11
Maximum	25
Range	25
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.8344191
Coefficient of variation (CV)	0.9592691
Kurtosis	6.3844267
Mean	3.9972299
Median Absolute Deviation (MAD)	2
Skewness	2.0848594
Sum	1443
Variance	14.70277
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
2	62	0.9%
1	54	0.8%
3	47	0.7%
4	41	0.6%
0	39	0.6%
5	36	0.5%
6	23	0.3%
10	12	0.2%
7	9	0.1%
8	9	0.1%
Other values (10)	29	0.4%
(Missing)	6697	94.9%

Value	Count	Frequency (%)
0	39	0.6%
1	54	0.8%
2	62	0.9%
3	47	0.7%
4	41	0.6%
5	36	0.5%
6	23	0.3%
7	9	0.1%
8	9	0.1%
9	7	0.1%

Value	Count	Frequency (%)
25	2	< 0.1%
20	2	< 0.1%
18	1	< 0.1%
16	2	< 0.1%
15	1	< 0.1%
14	2	< 0.1%
13	3	< 0.1%
12	3	< 0.1%
11	6	0.1%
10	12	0.2%

People (PRF) - IT experience <1 yr
Real number (ℝ)

High correlation Missing

Distinct	11
Distinct (%)	19.3%
Missing	7001
Missing (%)	99.2%
Infinite	0
Infinite (%)	0.0%
Mean	2.2807018

Minimum	0
Maximum	24
Zeros	24
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	11.2
Maximum	24
Range	24
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	4.5029926
Coefficient of variation (CV)	1.9743891
Kurtosis	11.801909
Mean	2.2807018
Median Absolute Deviation (MAD)	1
Skewness	3.3054838
Sum	130
Variance	20.276942
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	24	0.3%
1	16	0.2%
3	5	0.1%
2	3	< 0.1%
5	2	< 0.1%
6	2	< 0.1%
16	1	< 0.1%
24	1	< 0.1%
10	1	< 0.1%
17	1	< 0.1%
(Missing)	7001	99.2%

Value	Count	Frequency (%)
0	24	0.3%
1	16	0.2%
2	3	< 0.1%
3	5	0.1%
4	1	< 0.1%
5	2	< 0.1%
6	2	< 0.1%
10	1	< 0.1%
16	1	< 0.1%
17	1	< 0.1%

Value	Count	Frequency (%)
24	1	< 0.1%
17	1	< 0.1%
16	1	< 0.1%
10	1	< 0.1%
6	2	< 0.1%
5	2	< 0.1%
4	1	< 0.1%
3	5	0.1%
2	3	< 0.1%
1	16	0.2%

People (PRF) - IT experience 1 to 3 yr
Real number (ℝ)

High correlation Missing

Distinct	15
Distinct (%)	22.1%
Missing	6990
Missing (%)	99.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.2205882

Minimum	0
Maximum	61
Zeros	19
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	5.25
95-th percentile	14.25
Maximum	61
Range	61
Interquartile range (IQR)	5.25

Descriptive statistics

Standard deviation	8.1567582
Coefficient of variation (CV)	1.9326117
Kurtosis	35.485567
Mean	4.2205882
Median Absolute Deviation (MAD)	2
Skewness	5.3209295
Sum	287
Variance	66.532704
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
0	19	0.3%
1	14	0.2%
2	8	0.1%
4	5	0.1%
3	4	0.1%
7	4	0.1%
10	3	< 0.1%
9	3	< 0.1%
16	2	< 0.1%
8	1	< 0.1%
Other values (5)	5	0.1%
(Missing)	6990	99.0%

Value	Count	Frequency (%)
0	19	0.3%
1	14	0.2%
2	8	0.1%
3	4	0.1%
4	5	0.1%
5	1	< 0.1%
6	1	< 0.1%
7	4	0.1%
8	1	< 0.1%
9	3	< 0.1%

Value	Count	Frequency (%)
61	1	< 0.1%
17	1	< 0.1%
16	2	< 0.1%
11	1	< 0.1%
10	3	< 0.1%
9	3	< 0.1%
8	1	< 0.1%
7	4	0.1%
6	1	< 0.1%
5	1	< 0.1%

People (PRF) - IT experience >3 yr
Real number (ℝ)

High correlation Missing

Distinct	17
Distinct (%)	20.7%
Missing	6976
Missing (%)	98.8%
Infinite	0
Infinite (%)	0.0%
Mean	6.3902439

Minimum	0
Maximum	87
Zeros	6
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	6.75
95-th percentile	14
Maximum	87
Range	87
Interquartile range (IQR)	4.75

Descriptive statistics

Standard deviation	12.863726
Coefficient of variation (CV)	2.0130259
Kurtosis	32.454968
Mean	6.3902439
Median Absolute Deviation (MAD)	2
Skewness	5.5700625
Sum	524
Variance	165.47546
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
1	13	0.2%
3	13	0.2%
4	9	0.1%
5	8	0.1%
2	7	0.1%
0	6	0.1%
6	5	0.1%
8	5	0.1%
7	5	0.1%
10	3	< 0.1%
Other values (7)	8	0.1%
(Missing)	6976	98.8%

Value	Count	Frequency (%)
0	6	0.1%
1	13	0.2%
2	7	0.1%
3	13	0.2%
4	9	0.1%
5	8	0.1%
6	5	0.1%
7	5	0.1%
8	5	0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
87	1	< 0.1%
81	1	< 0.1%
16	1	< 0.1%
15	1	< 0.1%
14	2	< 0.1%
11	1	< 0.1%
10	3	< 0.1%
9	1	< 0.1%
8	5	0.1%
7	5	0.1%

People (PRF) - IT experience <3 yr
Real number (ℝ)

High correlation Missing Zeros

Distinct	18
Distinct (%)	6.6%
Missing	6785
Missing (%)	96.1%
Infinite	0
Infinite (%)	0.0%
Mean	2.9120879

Minimum	0
Maximum	36
Zeros	73
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	4
95-th percentile	9
Maximum	36
Range	36
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.601746
Coefficient of variation (CV)	1.5802222
Kurtosis	20.51214
Mean	2.9120879
Median Absolute Deviation (MAD)	1
Skewness	3.976124
Sum	795
Variance	21.176067
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0	73	1.0%
1	65	0.9%
2	35	0.5%
3	26	0.4%
4	21	0.3%
5	15	0.2%
6	13	0.2%
7	6	0.1%
9	5	0.1%
24	3	< 0.1%
Other values (8)	11	0.2%
(Missing)	6785	96.1%

Value	Count	Frequency (%)
0	73	1.0%
1	65	0.9%
2	35	0.5%
3	26	0.4%
4	21	0.3%
5	15	0.2%
6	13	0.2%
7	6	0.1%
8	1	< 0.1%
9	5	0.1%

Value	Count	Frequency (%)
36	1	< 0.1%
33	1	< 0.1%
24	3	< 0.1%
20	1	< 0.1%
17	1	< 0.1%
15	2	< 0.1%
11	2	< 0.1%
10	2	< 0.1%
9	5	0.1%
8	1	< 0.1%

People (PRF) - IT experience 3 to 9 yr
Real number (ℝ)

High correlation Missing

Distinct	18
Distinct (%)	5.3%
Missing	6717
Missing (%)	95.2%
Infinite	0
Infinite (%)	0.0%
Mean	3.5366569

Minimum	0
Maximum	40
Zeros	24
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	4
95-th percentile	10
Maximum	40
Range	40
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	4.2387539
Coefficient of variation (CV)	1.19852
Kurtosis	37.764536
Mean	3.5366569
Median Absolute Deviation (MAD)	2
Skewness	5.1128258
Sum	1206
Variance	17.967035
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
1	80	1.1%
2	63	0.9%
3	50	0.7%
4	40	0.6%
5	32	0.5%
0	24	0.3%
10	15	0.2%
6	15	0.2%
7	9	0.1%
12	2	< 0.1%
Other values (8)	11	0.2%
(Missing)	6717	95.2%

Value	Count	Frequency (%)
0	24	0.3%
1	80	1.1%
2	63	0.9%
3	50	0.7%
4	40	0.6%
5	32	0.5%
6	15	0.2%
7	9	0.1%
8	2	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
40	2	< 0.1%
33	1	< 0.1%
17	1	< 0.1%
15	1	< 0.1%
13	1	< 0.1%
12	2	< 0.1%
11	1	< 0.1%
10	15	0.2%
9	2	< 0.1%
8	2	< 0.1%

People (PRF) - IT experience >9 yr
Real number (ℝ)

High correlation Missing

Distinct	22
Distinct (%)	7.4%
Missing	6761
Missing (%)	95.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.8653199

Minimum	0
Maximum	25
Zeros	26
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	4
Q3	6
95-th percentile	15
Maximum	25
Range	25
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	4.6841498
Coefficient of variation (CV)	0.96276297
Kurtosis	2.8120763
Mean	4.8653199
Median Absolute Deviation (MAD)	3
Skewness	1.6293811
Sum	1445
Variance	21.941259
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
1	51	0.7%
3	39	0.6%
4	34	0.5%
2	32	0.5%
0	26	0.4%
5	24	0.3%
6	17	0.2%
9	12	0.2%
10	11	0.2%
8	10	0.1%
Other values (12)	41	0.6%
(Missing)	6761	95.8%

Value	Count	Frequency (%)
0	26	0.4%
1	51	0.7%
2	32	0.5%
3	39	0.6%
4	34	0.5%
5	24	0.3%
6	17	0.2%
7	10	0.1%
8	10	0.1%
9	12	0.2%

Value	Count	Frequency (%)
25	1	< 0.1%
24	1	< 0.1%
21	1	< 0.1%
20	3	< 0.1%
18	3	< 0.1%
17	1	< 0.1%
15	8	0.1%
14	4	0.1%
13	4	0.1%
12	3	< 0.1%

People (PRF) - Project manage experience
Real number (ℝ)

High correlation Missing

Distinct	34
Distinct (%)	8.0%
Missing	6633
Missing (%)	94.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.181176

Minimum	0
Maximum	200
Zeros	13
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	8
Q3	15
95-th percentile	35
Maximum	200
Range	200
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	17.407915
Coefficient of variation (CV)	1.4290832
Kurtosis	40.776407
Mean	12.181176
Median Absolute Deviation (MAD)	5
Skewness	5.3151481
Sum	5177
Variance	303.03549
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
10	61	0.9%
5	48	0.7%
3	33	0.5%
2	29	0.4%
6	27	0.4%
20	26	0.4%
15	25	0.4%
4	22	0.3%
1	21	0.3%
8	19	0.3%
Other values (24)	114	1.6%
(Missing)	6633	94.0%

Value	Count	Frequency (%)
0	13	0.2%
1	21	0.3%
2	29	0.4%
3	33	0.5%
4	22	0.3%
5	48	0.7%
6	27	0.4%
7	13	0.2%
8	19	0.3%
9	1	< 0.1%

Value	Count	Frequency (%)
200	1	< 0.1%
100	7	0.1%
50	6	0.1%
45	2	< 0.1%
40	3	< 0.1%
35	5	0.1%
32	2	< 0.1%
30	6	0.1%
28	1	< 0.1%
26	1	< 0.1%

People (PRF) - Project manage changes
Categorical

High correlation Imbalance Missing

Distinct	5
Distinct (%)	0.9%
Missing	6481
Missing (%)	91.8%
Memory size	55.3 KiB

0.0	462
1.0	91
2.0	15
3.0	5
4.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1731
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	462	6.5%
1.0	91	1.3%
2.0	15	0.2%
3.0	5	0.1%
4.0	4	0.1%
(Missing)	6481	91.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	462	80.1%
1.0	91	15.8%
2.0	15	2.6%
3.0	5	0.9%
4.0	4	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	1039	60.0%
.	577	33.3%
1	91	5.3%
2	15	0.9%
3	5	0.3%
4	4	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1731	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1039	60.0%
.	577	33.3%
1	91	5.3%
2	15	0.9%
3	5	0.3%
4	4	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1731	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1039	60.0%
.	577	33.3%
1	91	5.3%
2	15	0.9%
3	5	0.3%
4	4	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1731	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1039	60.0%
.	577	33.3%
1	91	5.3%
2	15	0.9%
3	5	0.3%
4	4	0.2%

People (PRF) - Personnel changes
Real number (ℝ)

High correlation Missing Zeros

Distinct	15
Distinct (%)	1.9%
Missing	6287
Missing (%)	89.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.89494163

Minimum	0
Maximum	16
Zeros	452
Zeros (%)	6.4%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	16
Range	16
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.7568014
Coefficient of variation (CV)	1.9630346
Kurtosis	24.058942
Mean	0.89494163
Median Absolute Deviation (MAD)	0
Skewness	4.1979111
Sum	690
Variance	3.086351
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
0	452	6.4%
1	170	2.4%
2	60	0.9%
3	60	0.9%
4	8	0.1%
5	5	0.1%
11	3	< 0.1%
12	3	< 0.1%
10	2	< 0.1%
7	2	< 0.1%
Other values (5)	6	0.1%
(Missing)	6287	89.1%

Value	Count	Frequency (%)
0	452	6.4%
1	170	2.4%
2	60	0.9%
3	60	0.9%
4	8	0.1%
5	5	0.1%
6	2	< 0.1%
7	2	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
16	1	< 0.1%
15	1	< 0.1%
12	3	< 0.1%
11	3	< 0.1%
10	2	< 0.1%
9	1	< 0.1%
8	1	< 0.1%
7	2	< 0.1%
6	2	< 0.1%
5	5	0.1%

Project (PRF) - Total project cost
Real number (ℝ)

High correlation Missing

Distinct	998
Distinct (%)	97.6%
Missing	6035
Missing (%)	85.5%
Infinite	0
Infinite (%)	0.0%
Mean	303714.06

Minimum	560
Maximum	17288808
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.3 KiB

Quantile statistics

Minimum	560
5-th percentile	8113.1
Q1	36576
median	106746
Q3	295941.5
95-th percentile	1091272.6
Maximum	17288808
Range	17288248
Interquartile range (IQR)	259365.5

Descriptive statistics

Standard deviation	885956.47
Coefficient of variation (CV)	2.9170742
Kurtosis	264.97763
Mean	303714.06
Median Absolute Deviation (MAD)	86988
Skewness	14.415449
Sum	3.1069949 × 10⁸
Variance	7.8491887 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
114160	3	< 0.1%
128000	3	< 0.1%
1680	3	< 0.1%
60000	3	< 0.1%
640	3	< 0.1%
8750	2	< 0.1%
72320	2	< 0.1%
23000	2	< 0.1%
42000	2	< 0.1%
13654	2	< 0.1%
Other values (988)	998	14.1%
(Missing)	6035	85.5%

Value	Count	Frequency (%)
560	1	< 0.1%
640	3	< 0.1%
800	1	< 0.1%
960	1	< 0.1%
1099	1	< 0.1%
1242	1	< 0.1%
1440	1	< 0.1%
1597	1	< 0.1%
1600	1	< 0.1%
1658	1	< 0.1%

Value	Count	Frequency (%)
17288808	2	< 0.1%
4612300	1	< 0.1%
4071933	1	< 0.1%
3723500	1	< 0.1%
3642959	1	< 0.1%
3624672	1	< 0.1%
3248000	1	< 0.1%
2860000	1	< 0.1%
2838927	1	< 0.1%
2597900	1	< 0.1%

Project (PRF) - Cost currency
Categorical

High correlation Imbalance Missing

Distinct	16
Distinct (%)	1.4%
Missing	5916
Missing (%)	83.8%
Memory size	55.3 KiB

United States, dollar	723
European, euro	250
Netherlands, florin	60
United Kingdom, pound sterling	43
Canada, dollar	34
Other values (11)	32

Length

Max length	30
Median length	21
Mean length	19.337128
Min length	3

Characters and Unicode

Total characters	22083
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	0.7%

Sample

1st row	United States, dollar
2nd row	United States, dollar
3rd row	European, euro
4th row	European, euro
5th row	United States, dollar

Common Values

Value	Count	Frequency (%)
United States, dollar	723	10.2%
European, euro	250	3.5%
Netherlands, florin	60	0.9%
United Kingdom, pound sterling	43	0.6%
Canada, dollar	34	0.5%
Australia, dollar	19	0.3%
Germany, Mark	3	< 0.1%
India, rupee	2	< 0.1%
Chinese, RMB	1	< 0.1%
South Africa, rand	1	< 0.1%
Other values (6)	6	0.1%
(Missing)	5916	83.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
dollar	777	25.1%
united	766	24.8%
states	723	23.4%
european	250	8.1%
euro	250	8.1%
netherlands	60	1.9%
florin	60	1.9%
kingdom	43	1.4%
pound	43	1.4%
sterling	43	1.4%
Other values (21)	78	2.5%

Most occurring characters

Value	Count	Frequency (%)
t	2338	10.6%
e	2168	9.8%
a	1970	8.9%
	1951	8.8%
l	1741	7.9%
d	1729	7.8%
r	1474	6.7%
o	1425	6.5%
n	1310	5.9%
,	1140	5.2%
Other values (28)	4837	21.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	22083	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	2338	10.6%
e	2168	9.8%
a	1970	8.9%
	1951	8.8%
l	1741	7.9%
d	1729	7.8%
r	1474	6.7%
o	1425	6.5%
n	1310	5.9%
,	1140	5.2%
Other values (28)	4837	21.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	22083	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	2338	10.6%
e	2168	9.8%
a	1970	8.9%
	1951	8.8%
l	1741	7.9%
d	1729	7.8%
r	1474	6.7%
o	1425	6.5%
n	1310	5.9%
,	1140	5.2%
Other values (28)	4837	21.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	22083	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	2338	10.6%
e	2168	9.8%
a	1970	8.9%
	1951	8.8%
l	1741	7.9%
d	1729	7.8%
r	1474	6.7%
o	1425	6.5%
n	1310	5.9%
,	1140	5.2%
Other values (28)	4837	21.9%

Project (PRF) - Currency multiple
Categorical

High correlation Imbalance Missing

Distinct	3
Distinct (%)	0.4%
Missing	6255
Missing (%)	88.6%
Memory size	55.3 KiB

No	798
Yes 1,000	3
Yes 10,000	2

Length

Max length	10
Median length	2
Mean length	2.0460772
Min length	2

Characters and Unicode

Total characters	1643
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	798	11.3%
Yes 1,000	3	< 0.1%
Yes 10,000	2	< 0.1%
(Missing)	6255	88.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	798	98.8%
yes	5	0.6%
1,000	3	0.4%
10,000	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
N	798	48.6%
o	798	48.6%
0	17	1.0%
Y	5	0.3%
e	5	0.3%
s	5	0.3%
	5	0.3%
1	5	0.3%
,	5	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1643	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
N	798	48.6%
o	798	48.6%
0	17	1.0%
Y	5	0.3%
e	5	0.3%
s	5	0.3%
	5	0.3%
1	5	0.3%
,	5	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1643	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
N	798	48.6%
o	798	48.6%
0	17	1.0%
Y	5	0.3%
e	5	0.3%
s	5	0.3%
	5	0.3%
1	5	0.3%
,	5	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1643	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
N	798	48.6%
o	798	48.6%
0	17	1.0%
Y	5	0.3%
e	5	0.3%
s	5	0.3%
	5	0.3%
1	5	0.3%
,	5	0.3%

Interactions

Correlations

	- CASE Tool Used	External (EEF) - Data Quality Rating	External (EEF) - Industry Sector	ISBSG Project ID	People (PRF) - BA team experience 1 to 3 yr	People (PRF) - BA team experience <1 yr	People (PRF) - BA team experience >3 yr	People (PRF) - IT experience 1 to 3 yr	People (PRF) - IT experience 3 to 9 yr	People (PRF) - IT experience <1 yr	People (PRF) - IT experience <3 yr	People (PRF) - IT experience >3 yr	People (PRF) - IT experience >9 yr	People (PRF) - Personnel changes	People (PRF) - Project manage changes	People (PRF) - Project manage experience	People (PRF) - Project user involvement	Process (PMF) - Development Methodologies	Process (PMF) - Docs	Project (PRF) - Application Group	Project (PRF) - Cost currency	Project (PRF) - Currency multiple	Project (PRF) - Defect Density	Project (PRF) - Development Type	Project (PRF) - Functional Size	Project (PRF) - Manpower Delivery Rate	Project (PRF) - Max Team Size	Project (PRF) - Normalised Level 1 PDR (ufp)	Project (PRF) - Normalised PDR (ufp)	Project (PRF) - Normalised Work Effort	Project (PRF) - Normalised Work Effort Level 1	Project (PRF) - Project Elapsed Time	Project (PRF) - Relative Size	Project (PRF) - Speed of Delivery	Project (PRF) - Team Size Group	Project (PRF) - Total project cost	Project (PRF) - Year of Project	Tech (TF) - Architecture	Tech (TF) - Client/Server Description	Tech (TF) - DBMS Used	Tech (TF) - Development Platform	Tech (TF) - Language Type	Tech (TF) - Server Roles	Tech (TF) - Tools Used	Tech (TF) - Type of Server	Tech (TF) - Web Development
- CASE Tool Used	1.000	0.098	0.287	0.026	0.000	0.000	0.000	0.000	0.091	0.000	0.194	0.000	0.099	0.109	0.149	0.212	0.405	0.528	0.547	0.082	0.388	0.395	0.116	0.044	0.040	0.101	0.034	0.000	0.000	0.027	0.048	0.082	0.075	0.061	0.106	0.094	0.319	0.193	0.636	0.134	0.220	0.134	0.817	0.377	0.525	0.153
External (EEF) - Data Quality Rating	0.098	1.000	0.336	0.031	0.073	0.000	0.126	0.170	0.164	0.105	0.386	0.000	0.021	0.082	0.017	0.120	0.400	0.775	0.574	0.106	0.385	0.198	0.000	0.094	0.032	0.000	0.237	0.039	0.037	0.000	0.014	0.122	0.158	0.006	0.275	0.094	0.372	0.232	0.807	0.000	0.196	0.159	0.815	0.317	0.704	0.000
External (EEF) - Industry Sector	0.287	0.336	1.000	0.016	0.226	0.000	0.193	0.364	0.300	0.464	0.248	0.214	0.119	0.177	0.068	0.103	0.341	0.320	0.319	0.213	0.381	0.463	0.249	0.299	0.072	0.109	0.222	0.136	0.139	0.062	0.063	0.143	0.198	0.049	0.200	0.047	0.312	0.311	0.308	0.191	0.238	0.150	0.435	0.194	0.436	0.059
ISBSG Project ID	0.026	0.031	0.016	1.000	-0.057	-0.118	-0.046	-0.172	-0.016	-0.085	0.056	-0.073	-0.067	-0.008	0.000	0.117	0.048	0.000	0.013	0.000	0.000	0.106	-0.014	0.011	0.026	0.051	-0.009	-0.042	-0.034	0.000	-0.007	0.002	0.000	0.020	0.000	-0.009	0.000	0.000	0.017	0.010	0.000	0.000	0.038	0.008	0.061	0.000
People (PRF) - BA team experience 1 to 3 yr	0.000	0.073	0.226	-0.057	1.000	0.146	0.159	0.691	0.312	0.196	0.346	0.185	0.065	0.063	0.034	-0.070	0.470	0.680	0.207	0.000	0.224	1.000	-0.019	0.000	0.198	-0.046	0.299	0.102	0.115	0.234	0.218	0.027	0.073	0.169	0.510	0.230	0.079	0.000	0.000	0.000	0.116	0.000	0.594	-0.002	0.549	1.000
People (PRF) - BA team experience <1 yr	0.000	0.000	0.000	-0.118	0.146	1.000	-0.203	0.368	0.217	0.519	0.283	-0.027	0.224	0.328	0.318	-0.147	0.000	0.290	0.061	0.286	0.300	1.000	-0.041	0.110	0.248	-0.076	0.299	0.172	0.174	0.345	0.337	0.125	0.073	0.155	0.361	-0.073	-0.023	0.000	0.000	0.000	0.098	0.000	0.000	0.182	0.137	1.000
People (PRF) - BA team experience >3 yr	0.000	0.126	0.193	-0.046	0.159	-0.203	1.000	0.370	0.173	0.217	-0.161	0.738	0.568	0.168	0.304	0.163	0.195	0.417	0.167	0.084	0.061	0.031	0.064	0.125	0.149	-0.407	0.523	0.266	0.277	0.312	0.305	0.285	0.107	-0.068	0.320	0.390	0.176	0.069	0.000	0.095	0.121	0.000	0.000	-0.096	0.000	1.000
People (PRF) - IT experience 1 to 3 yr	0.000	0.170	0.364	-0.172	0.691	0.368	0.370	1.000	NaN	0.558	NaN	0.126	NaN	0.233	0.257	0.156	0.000	0.808	-0.622	0.000	0.000	0.000	-0.090	0.000	0.368	-0.344	0.696	0.469	0.428	0.496	0.543	0.218	0.059	0.139	0.651	0.392	0.558	0.176	0.000	1.000	0.246	0.130	0.000	0.106	0.000	1.000
People (PRF) - IT experience 3 to 9 yr	0.091	0.164	0.300	-0.016	0.312	0.217	0.173	NaN	1.000	NaN	0.203	NaN	0.019	0.203	0.142	-0.033	0.000	0.418	0.112	0.000	0.133	1.000	0.135	0.000	0.281	-0.194	0.446	0.264	0.264	0.425	0.426	0.151	0.150	0.118	0.579	0.340	-0.052	0.192	0.000	0.000	0.102	0.000	0.000	0.087	0.000	1.000
People (PRF) - IT experience <1 yr	0.000	0.105	0.464	-0.085	0.196	0.519	0.217	0.558	NaN	1.000	NaN	0.096	NaN	0.327	0.000	0.158	0.000	0.479	-0.465	0.046	0.441	0.000	-0.110	0.000	0.402	-0.283	0.663	0.326	0.332	0.465	0.485	0.204	0.128	0.232	0.409	0.349	0.351	0.402	0.000	1.000	0.276	0.230	0.186	0.317	0.305	1.000
People (PRF) - IT experience <3 yr	0.194	0.386	0.248	0.056	0.346	0.283	-0.161	NaN	0.203	NaN	1.000	NaN	-0.214	0.056	0.000	-0.212	0.000	0.592	0.060	0.000	0.000	1.000	-0.077	0.261	0.183	0.068	0.160	0.034	0.032	0.204	0.196	-0.100	0.112	0.224	0.442	-0.226	-0.094	0.000	0.000	0.000	0.000	0.000	0.000	0.041	0.000	1.000
People (PRF) - IT experience >3 yr	0.000	0.000	0.214	-0.073	0.185	-0.027	0.738	0.126	NaN	0.096	NaN	1.000	NaN	0.169	0.000	0.005	0.000	0.000	-0.382	0.000	0.173	0.000	-0.076	0.000	0.281	-0.568	0.714	0.670	0.611	0.557	0.555	0.374	0.000	0.008	0.745	0.665	0.315	0.000	0.000	1.000	0.000	0.000	0.000	0.315	0.000	1.000
People (PRF) - IT experience >9 yr	0.099	0.021	0.119	-0.067	0.065	0.224	0.568	NaN	0.019	NaN	-0.214	NaN	1.000	0.209	0.282	0.129	0.000	0.637	0.034	0.000	0.000	0.000	0.142	0.066	0.166	-0.404	0.588	0.344	0.344	0.384	0.385	0.225	0.146	0.014	0.371	0.102	0.020	0.049	0.000	0.101	0.226	0.000	0.000	-0.132	0.000	1.000
People (PRF) - Personnel changes	0.109	0.082	0.177	-0.008	0.063	0.328	0.168	0.233	0.203	0.327	0.056	0.169	0.209	1.000	0.318	0.054	0.000	0.500	0.026	0.000	0.340	0.296	-0.122	0.090	-0.041	-0.266	0.320	0.240	0.152	0.076	0.336	0.172	0.144	-0.177	0.364	0.440	0.148	0.000	0.000	0.000	0.080	0.000	0.000	0.031	0.036	1.000
People (PRF) - Project manage changes	0.149	0.017	0.068	0.000	0.034	0.318	0.304	0.257	0.142	0.000	0.000	0.000	0.282	0.318	1.000	0.000	0.134	0.315	0.000	0.032	0.566	0.000	0.000	0.068	0.087	0.000	0.114	0.000	0.000	0.109	0.293	0.303	0.043	0.000	0.160	0.083	0.215	0.047	0.000	0.087	0.101	0.216	0.469	0.000	0.198	1.000
People (PRF) - Project manage experience	0.212	0.120	0.103	0.117	-0.070	-0.147	0.163	0.156	-0.033	0.158	-0.212	0.005	0.129	0.054	0.000	1.000	0.157	0.064	0.155	0.118	0.227	0.521	-0.108	0.129	-0.006	0.042	0.039	-0.091	-0.030	-0.018	-0.038	0.072	0.117	-0.049	0.000	0.113	0.150	0.000	0.000	0.000	0.077	0.000	0.497	-0.029	0.576	1.000
People (PRF) - Project user involvement	0.405	0.400	0.341	0.048	0.470	0.000	0.195	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.134	0.157	1.000	0.500	0.641	0.132	0.131	0.000	0.000	0.224	0.029	0.122	0.000	1.000	1.000	0.056	0.069	0.167	0.161	0.000	0.142	0.031	0.413	0.149	0.350	1.000	0.484	0.118	0.574	0.245	0.448	1.000
Process (PMF) - Development Methodologies	0.528	0.775	0.320	0.000	0.680	0.290	0.417	0.808	0.418	0.479	0.592	0.000	0.637	0.500	0.315	0.064	0.500	1.000	0.649	0.202	0.602	0.000	0.429	0.366	0.012	0.000	0.774	0.000	0.000	0.308	0.296	0.178	0.166	0.000	0.424	0.000	0.360	0.442	0.502	0.000	0.423	0.249	0.678	0.438	0.512	0.000
Process (PMF) - Docs	0.547	0.574	0.319	0.013	0.207	0.061	0.167	-0.622	0.112	-0.465	0.060	-0.382	0.034	0.026	0.000	0.155	0.641	0.649	1.000	0.159	0.334	0.569	0.096	0.186	0.284	0.297	-0.268	-0.217	-0.167	0.056	0.049	0.107	0.110	0.161	0.167	0.052	-0.177	0.257	0.657	0.088	0.228	0.120	0.762	0.571	0.646	0.000
Project (PRF) - Application Group	0.082	0.106	0.213	0.000	0.000	0.286	0.084	0.000	0.000	0.046	0.000	0.000	0.000	0.000	0.032	0.118	0.132	0.202	0.159	1.000	0.384	0.358	0.000	0.098	0.000	0.101	0.000	0.000	0.000	0.000	0.000	0.000	0.054	0.000	0.038	0.000	0.167	0.112	0.410	0.049	0.101	0.000	0.422	0.035	0.298	0.096
Project (PRF) - Cost currency	0.388	0.385	0.381	0.000	0.224	0.300	0.061	0.000	0.133	0.441	0.000	0.173	0.000	0.340	0.566	0.227	0.131	0.602	0.334	0.384	1.000	0.405	0.000	0.347	0.163	0.187	0.113	0.000	0.000	0.000	0.000	0.459	0.142	0.352	0.201	0.138	0.367	0.241	0.227	0.000	0.326	0.640	0.564	0.360	0.577	1.000
Project (PRF) - Currency multiple	0.395	0.198	0.463	0.106	1.000	1.000	0.031	0.000	1.000	0.000	1.000	0.000	0.000	0.296	0.000	0.521	0.000	0.000	0.569	0.358	0.405	1.000	1.000	0.082	0.000	0.398	0.000	0.000	0.000	0.000	0.000	0.000	0.113	0.000	0.335	0.123	0.147	0.155	0.000	0.989	0.000	0.096	1.000	0.389	1.000	1.000
Project (PRF) - Defect Density	0.116	0.000	0.249	-0.014	-0.019	-0.041	0.064	-0.090	0.135	-0.110	-0.077	-0.076	0.142	-0.122	0.000	-0.108	0.000	0.429	0.096	0.000	0.000	1.000	1.000	0.000	0.155	-0.062	0.061	0.118	0.051	0.159	0.163	0.132	0.032	0.078	0.000	0.095	-0.277	0.331	0.471	0.000	0.012	0.052	0.539	-0.002	0.255	1.000
Project (PRF) - Development Type	0.044	0.094	0.299	0.011	0.000	0.110	0.125	0.000	0.000	0.000	0.261	0.000	0.066	0.090	0.068	0.129	0.224	0.366	0.186	0.098	0.347	0.082	0.000	1.000	0.141	0.091	0.175	0.047	0.044	0.079	0.083	0.142	0.292	0.071	0.206	0.000	0.263	0.065	0.353	0.054	0.194	0.058	0.368	0.091	0.328	0.036
Project (PRF) - Functional Size	0.040	0.032	0.072	0.026	0.198	0.248	0.149	0.368	0.281	0.402	0.183	0.281	0.166	-0.041	0.087	-0.006	0.029	0.012	0.284	0.000	0.163	0.000	0.155	0.141	1.000	0.629	-0.100	-0.368	-0.335	0.595	0.563	0.262	0.561	0.765	0.061	0.465	-0.377	0.000	0.177	0.000	0.000	0.041	0.219	0.215	0.084	1.000
Project (PRF) - Manpower Delivery Rate	0.101	0.000	0.109	0.051	-0.046	-0.076	-0.407	-0.344	-0.194	-0.283	0.068	-0.568	-0.404	-0.266	0.000	0.042	0.122	0.000	0.297	0.101	0.187	0.398	-0.062	0.091	0.629	1.000	-0.731	-0.858	-0.865	-0.226	-0.235	-0.516	0.211	0.843	0.136	-0.143	-0.566	0.080	0.208	0.000	0.147	0.070	0.140	0.211	0.000	1.000
Project (PRF) - Max Team Size	0.034	0.237	0.222	-0.009	0.299	0.299	0.523	0.696	0.446	0.663	0.160	0.714	0.588	0.320	0.114	0.039	0.000	0.774	-0.268	0.000	0.113	0.000	0.061	0.175	-0.100	-0.731	1.000	0.693	0.705	0.588	0.590	0.439	0.128	-0.312	0.606	0.559	0.426	0.010	0.000	0.000	0.045	0.000	0.889	-0.151	0.414	0.000
Project (PRF) - Normalised Level 1 PDR (ufp)	0.000	0.039	0.136	-0.042	0.102	0.172	0.266	0.469	0.264	0.326	0.034	0.670	0.344	0.240	0.000	-0.091	1.000	0.000	-0.217	0.000	0.000	0.000	0.118	0.047	-0.368	-0.858	0.693	1.000	0.989	0.472	0.494	0.340	0.119	-0.553	0.189	0.399	0.244	0.000	0.470	0.130	0.000	0.008	0.450	-0.126	1.000	1.000
Project (PRF) - Normalised PDR (ufp)	0.000	0.037	0.139	-0.034	0.115	0.174	0.277	0.428	0.264	0.332	0.032	0.611	0.344	0.152	0.000	-0.030	1.000	0.000	-0.167	0.000	0.000	0.000	0.051	0.044	-0.335	-0.865	0.705	0.989	1.000	0.489	0.490	0.327	0.119	-0.533	0.189	0.371	0.207	0.000	0.470	0.132	0.000	0.000	0.467	-0.094	1.000	1.000
Project (PRF) - Normalised Work Effort	0.027	0.000	0.062	0.000	0.234	0.345	0.312	0.496	0.425	0.465	0.204	0.557	0.384	0.076	0.109	-0.018	0.056	0.308	0.056	0.000	0.000	0.000	0.159	0.079	0.595	-0.226	0.588	0.472	0.489	1.000	0.988	0.572	0.173	0.231	0.130	0.934	-0.151	0.079	0.333	0.000	0.021	0.000	0.336	0.138	0.093	0.000
Project (PRF) - Normalised Work Effort Level 1	0.048	0.014	0.063	-0.007	0.218	0.337	0.305	0.543	0.426	0.485	0.196	0.555	0.385	0.336	0.293	-0.038	0.069	0.296	0.049	0.000	0.000	0.000	0.163	0.083	0.563	-0.235	0.590	0.494	0.490	0.988	1.000	0.574	0.178	0.207	0.130	0.938	-0.109	0.086	0.317	0.000	0.019	0.000	0.323	0.138	0.000	0.000
Project (PRF) - Project Elapsed Time	0.082	0.122	0.143	0.002	0.027	0.125	0.285	0.218	0.151	0.204	-0.100	0.374	0.225	0.172	0.303	0.072	0.167	0.178	0.107	0.000	0.459	0.000	0.132	0.142	0.262	-0.516	0.439	0.340	0.327	0.572	0.574	1.000	0.154	-0.345	0.174	0.446	-0.043	0.088	0.205	0.000	0.076	0.204	0.224	0.185	0.015	0.134
Project (PRF) - Relative Size	0.075	0.158	0.198	0.000	0.073	0.073	0.107	0.059	0.150	0.128	0.112	0.000	0.146	0.144	0.043	0.117	0.161	0.166	0.110	0.054	0.142	0.113	0.032	0.292	0.561	0.211	0.128	0.119	0.119	0.173	0.178	0.154	1.000	0.320	0.205	0.339	0.157	0.050	0.180	0.000	0.081	0.040	0.208	0.066	0.111	1.000
Project (PRF) - Speed of Delivery	0.061	0.006	0.049	0.020	0.169	0.155	-0.068	0.139	0.118	0.232	0.224	0.008	0.014	-0.177	0.000	-0.049	0.000	0.000	0.161	0.000	0.352	0.000	0.078	0.071	0.765	0.843	-0.312	-0.553	-0.533	0.231	0.207	-0.345	0.320	1.000	0.074	0.189	-0.311	0.000	0.381	0.000	0.028	0.000	0.362	0.072	0.131	1.000
Project (PRF) - Team Size Group	0.106	0.275	0.200	0.000	0.510	0.361	0.320	0.651	0.579	0.409	0.442	0.745	0.371	0.364	0.160	0.000	0.142	0.424	0.167	0.038	0.201	0.335	0.000	0.206	0.061	0.136	0.606	0.189	0.189	0.130	0.130	0.174	0.205	0.074	1.000	0.114	0.221	0.152	0.210	0.000	0.152	0.045	0.403	0.130	0.202	0.000
Project (PRF) - Total project cost	0.094	0.094	0.047	-0.009	0.230	-0.073	0.390	0.392	0.340	0.349	-0.226	0.665	0.102	0.440	0.083	0.113	0.031	0.000	0.052	0.000	0.138	0.123	0.095	0.000	0.465	-0.143	0.559	0.399	0.371	0.934	0.938	0.446	0.339	0.189	0.114	1.000	-0.030	0.000	0.000	0.000	0.000	0.000	0.000	0.055	0.000	1.000
Project (PRF) - Year of Project	0.319	0.372	0.312	0.000	0.079	-0.023	0.176	0.558	-0.052	0.351	-0.094	0.315	0.020	0.148	0.215	0.150	0.413	0.360	-0.177	0.167	0.367	0.147	-0.277	0.263	-0.377	-0.566	0.426	0.244	0.207	-0.151	-0.109	-0.043	0.157	-0.311	0.221	-0.030	1.000	0.330	0.419	0.161	0.283	0.118	0.561	-0.216	0.429	0.000
Tech (TF) - Architecture	0.193	0.232	0.311	0.000	0.000	0.000	0.069	0.176	0.192	0.402	0.000	0.000	0.049	0.000	0.047	0.000	0.149	0.442	0.257	0.112	0.241	0.155	0.331	0.065	0.000	0.080	0.010	0.000	0.000	0.079	0.086	0.088	0.050	0.000	0.152	0.000	0.330	1.000	0.986	0.028	0.424	0.161	0.967	0.167	0.885	0.000
Tech (TF) - Client/Server Description	0.636	0.807	0.308	0.017	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.350	0.502	0.657	0.410	0.227	0.000	0.471	0.353	0.177	0.208	0.000	0.470	0.470	0.333	0.317	0.205	0.180	0.381	0.210	0.000	0.419	0.986	1.000	0.272	0.620	0.487	0.995	0.528	0.349	0.992
Tech (TF) - DBMS Used	0.134	0.000	0.191	0.010	0.000	0.000	0.095	1.000	0.000	1.000	0.000	1.000	0.101	0.000	0.087	0.000	1.000	0.000	0.088	0.049	0.000	0.989	0.000	0.054	0.000	0.000	0.000	0.130	0.132	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.161	0.028	0.272	1.000	0.098	0.008	0.294	0.080	1.000	0.000
Tech (TF) - Development Platform	0.220	0.196	0.238	0.000	0.116	0.098	0.121	0.246	0.102	0.276	0.000	0.000	0.226	0.080	0.101	0.077	0.484	0.423	0.228	0.101	0.326	0.000	0.012	0.194	0.000	0.147	0.045	0.000	0.000	0.021	0.019	0.076	0.081	0.028	0.152	0.000	0.283	0.424	0.620	0.098	1.000	0.466	0.706	0.168	0.537	0.069
Tech (TF) - Language Type	0.134	0.159	0.150	0.000	0.000	0.000	0.000	0.130	0.000	0.230	0.000	0.000	0.000	0.000	0.216	0.000	0.118	0.249	0.120	0.000	0.640	0.096	0.052	0.058	0.041	0.070	0.000	0.008	0.000	0.000	0.000	0.204	0.040	0.000	0.045	0.000	0.118	0.161	0.487	0.008	0.466	1.000	0.434	0.029	0.294	0.000
Tech (TF) - Server Roles	0.817	0.815	0.435	0.038	0.594	0.000	0.000	0.000	0.000	0.186	0.000	0.000	0.000	0.000	0.469	0.497	0.574	0.678	0.762	0.422	0.564	1.000	0.539	0.368	0.219	0.140	0.889	0.450	0.467	0.336	0.323	0.224	0.208	0.362	0.403	0.000	0.561	0.967	0.995	0.294	0.706	0.434	1.000	0.551	0.987	0.985
Tech (TF) - Tools Used	0.377	0.317	0.194	0.008	-0.002	0.182	-0.096	0.106	0.087	0.317	0.041	0.315	-0.132	0.031	0.000	-0.029	0.245	0.438	0.571	0.035	0.360	0.389	-0.002	0.091	0.215	0.211	-0.151	-0.126	-0.094	0.138	0.138	0.185	0.066	0.072	0.130	0.055	-0.216	0.167	0.528	0.080	0.168	0.029	0.551	1.000	0.233	0.135
Tech (TF) - Type of Server	0.525	0.704	0.436	0.061	0.549	0.137	0.000	0.000	0.000	0.305	0.000	0.000	0.000	0.036	0.198	0.576	0.448	0.512	0.646	0.298	0.577	1.000	0.255	0.328	0.084	0.000	0.414	1.000	1.000	0.093	0.000	0.015	0.111	0.131	0.202	0.000	0.429	0.885	0.349	1.000	0.537	0.294	0.987	0.233	1.000	1.000
Tech (TF) - Web Development	0.153	0.000	0.059	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.000	0.000	0.096	1.000	1.000	1.000	0.036	1.000	1.000	0.000	1.000	1.000	0.000	0.000	0.134	1.000	1.000	0.000	1.000	0.000	0.000	0.992	0.000	0.069	0.000	0.985	0.135	1.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	ISBSG Project ID	External (EEF) - Data Quality Rating	Project (PRF) - Year of Project	External (EEF) - Industry Sector	External (EEF) - Organisation Type	Project (PRF) - Application Group	Project (PRF) - Application Type	Project (PRF) - Development Type	Tech (TF) - Development Platform	Tech (TF) - Language Type	Tech (TF) - Primary Programming Language	Project (PRF) - Functional Size	Project (PRF) - Relative Size	Project (PRF) - Normalised Work Effort Level 1	Project (PRF) - Normalised Work Effort	Project (PRF) - Normalised Level 1 PDR (ufp)	Project (PRF) - Normalised PDR (ufp)	Project (PRF) - Defect Density	Project (PRF) - Speed of Delivery	Project (PRF) - Manpower Delivery Rate	Project (PRF) - Project Elapsed Time	Project (PRF) - Team Size Group	Project (PRF) - Max Team Size	- CASE Tool Used	Process (PMF) - Development Methodologies	Process (PMF) - Prototyping Used	Process (PMF) - Docs	Tech (TF) - Architecture	Tech (TF) - Client Server?	Tech (TF) - Client Roles	Tech (TF) - Server Roles	Tech (TF) - Type of Server	Tech (TF) - Client/Server Description	Tech (TF) - Web Development	Tech (TF) - DBMS Used	Tech (TF) - Tools Used	People (PRF) - Project user involvement	People (PRF) - BA team experience <1 yr	People (PRF) - BA team experience 1 to 3 yr	People (PRF) - BA team experience >3 yr	People (PRF) - IT experience <1 yr	People (PRF) - IT experience 1 to 3 yr	People (PRF) - IT experience >3 yr	People (PRF) - IT experience <3 yr	People (PRF) - IT experience 3 to 9 yr	People (PRF) - IT experience >9 yr	People (PRF) - Project manage experience	People (PRF) - Project manage changes	People (PRF) - Personnel changes	Project (PRF) - Total project cost	Project (PRF) - Cost currency	Project (PRF) - Currency multiple
0	10003	B	2015	Communication	Telecommunications;	Business Application	Online. eSales;	Enhancement	Multi	NaN	NaN	67.0	S	741.0	741	11.1	11.1	NaN	15.2	NaN	4.4	NaN	NaN	NaN	Waterfall (incl Linear Processing & SSADM);	Yes	3	NaN	NaN	NaN	NaN	NaN	NaN	Web	NaN	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	10011	B	1996	Construction	Construction;	Business Application	Stock control & order processing;	New Development	Multi	4GL	Access	443.0	M2	856.0	856	1.9	1.9	NaN	170.4	NaN	2.6	NaN	NaN	No	Waterfall (incl Linear Processing & SSADM);	NaN	3	Yes	NaN	NaN	C/S;	NaN	C/S;	NaN	Yes	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	10012	B	2002	Wholesale & Retail	Billing;	Business Application	Billing;	Enhancement	NaN	3GL	COBOL	76.0	S	1100.0	1100	14.5	14.5	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	10014	B	2004	NaN	NaN	NaN	NaN	Enhancement	NaN	NaN	NaN	3.0	XXS	28.0	28	9.3	9.3	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	Yes	NaN	NaN	C/S;	NaN	C/S;	NaN	NaN	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	10015	B	2000	Wholesale & Retail	Wholesale & Retail Trade;	Business Application	Management Information System;	Enhancement	MF	3GL	COBOL	382.0	M2	NaN	23913	NaN	62.6	NaN	127.3	NaN	3.0	NaN	NaN	Yes	NaN	NaN	4	Yes	NaN	NaN	NaN	NaN	NaN	NaN	Yes	2.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	10019	B	2014	Communication	Telecommunications;	Business Application	Data Warehouse system;	Enhancement	Multi	3GL	Shell	98.0	S	324.0	324	3.3	3.3	NaN	22.8	NaN	4.3	NaN	NaN	NaN	Waterfall (incl Linear Processing & SSADM);	Yes	3	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	10026	B	2000	Insurance	Insurance;	Business Application	Sales contact management;	New Development	MF	3GL	Java	620.0	M2	18160.0	18160	29.3	29.3	NaN	88.6	NaN	7.0	NaN	NaN	No	Waterfall (incl Linear Processing & SSADM);	NaN	3	Don't Know	NaN	NaN	NaN	NaN	NaN	NaN	Yes	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	10028	B	2015	Communication	Telecommunications;	Business Application	Customer relationship management;	Enhancement	Multi	4GL	Siebel	138.0	M1	2954.0	2954	21.4	21.4	NaN	28.2	NaN	4.9	NaN	NaN	NaN	Waterfall (incl Linear Processing & SSADM);	Yes	3	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	10029	B	2004	Banking	Banking;	Business Application	Financial transaction process/accounting;	New Development	MF	3GL	COBOL	297.0	M1	8186.0	8186	27.6	27.6	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	10033	B	2012	Medical & Health Care	Medical and Health Care;	NaN	not recorded;	Enhancement	NaN	NaN	NaN	162.0	M1	92380.0	92380	570.2	570.2	NaN	8.1	0.0	20.0	101+	253.0	NaN	NaN	NaN	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	4071933.0	United States, dollar	No

	ISBSG Project ID	External (EEF) - Data Quality Rating	Project (PRF) - Year of Project	External (EEF) - Industry Sector	External (EEF) - Organisation Type	Project (PRF) - Application Group	Project (PRF) - Application Type	Project (PRF) - Development Type	Tech (TF) - Development Platform	Tech (TF) - Language Type	Tech (TF) - Primary Programming Language	Project (PRF) - Functional Size	Project (PRF) - Relative Size	Project (PRF) - Normalised Work Effort Level 1	Project (PRF) - Normalised Work Effort	Project (PRF) - Normalised Level 1 PDR (ufp)	Project (PRF) - Normalised PDR (ufp)	Project (PRF) - Defect Density	Project (PRF) - Speed of Delivery	Project (PRF) - Manpower Delivery Rate	Project (PRF) - Project Elapsed Time	Project (PRF) - Team Size Group	Project (PRF) - Max Team Size	- CASE Tool Used	Process (PMF) - Development Methodologies	Process (PMF) - Prototyping Used	Process (PMF) - Docs	Tech (TF) - Architecture	Tech (TF) - Client Server?	Tech (TF) - Client Roles	Tech (TF) - Server Roles	Tech (TF) - Type of Server	Tech (TF) - Client/Server Description	Tech (TF) - Web Development	Tech (TF) - DBMS Used	Tech (TF) - Tools Used	People (PRF) - Project user involvement	People (PRF) - BA team experience <1 yr	People (PRF) - BA team experience 1 to 3 yr	People (PRF) - BA team experience >3 yr	People (PRF) - IT experience <1 yr	People (PRF) - IT experience 1 to 3 yr	People (PRF) - IT experience >3 yr	People (PRF) - IT experience <3 yr	People (PRF) - IT experience 3 to 9 yr	People (PRF) - IT experience >9 yr	People (PRF) - Project manage experience	People (PRF) - Project manage changes	People (PRF) - Personnel changes	Project (PRF) - Total project cost	Project (PRF) - Cost currency	Project (PRF) - Currency multiple
7048	32748	B	2001	Manufacturing	Manufacturing;	NaN	NaN	Enhancement	MF	3GL	PL/I	902.0	M2	3748.0	22478	4.2	24.9	0.0	53.1	3.1	17.0	15-20	17.0	Yes	NaN	NaN	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Yes	4.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	NaN	NaN
7049	32753	B	2015	Communication	Telecommunications;	Business Application	Customer relationship management;	Enhancement	Multi	NaN	NaN	63.0	S	1005.0	1005	16.0	16.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Waterfall (incl Linear Processing & SSADM);	Yes	3	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	5.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7050	32754	B	2015	Communication	Telecommunications;	Business Application	Online. eSales;	Enhancement	Multi	NaN	NaN	74.0	S	1907.0	1907	25.8	25.8	NaN	15.1	NaN	4.9	NaN	NaN	NaN	Waterfall (incl Linear Processing & SSADM);	Yes	3	NaN	NaN	NaN	NaN	NaN	NaN	Web	NaN	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7051	32755	B	2002	Financial	Financial, Property & Business Services;	Business Application	Financial transaction process/accounting;	Enhancement	NaN	NaN	NaN	197.0	M1	1214.0	1214	6.2	6.2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Yes	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7052	32756	B	2008	Government	Government;Defence;	Business Application	Financial transaction process/accounting;	Enhancement	MF	3GL	COBOL	23.0	XS	224.0	224	9.7	9.7	43.5	1.8	NaN	12.5	NaN	NaN	NaN	NaN	NaN	2	No	NaN	NaN	NaN	NaN	NaN	NaN	NaN	8.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	20290.0	United States, dollar	No
7053	32757	B	1998	NaN	NaN	NaN	NaN	New Development	NaN	NaN	NaN	291.0	M1	710.0	960	2.4	3.3	NaN	145.5	48.5	2.0	3-4	3.0	Don't Know	NaN	NaN	4	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7054	32758	B	1995	Government	Government;	Business Application	Management Information System;	Enhancement	MF	3GL	COBOL	119.0	M1	NaN	2312	NaN	19.4	NaN	11.9	NaN	10.0	NaN	NaN	No	NaN	NaN	5	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Yes	6.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7055	32762	B	2014	Communication	Telecommunications;	Business Application	Customer relationship management;	Enhancement	Multi	3GL	Java	50.0	S	556.0	556	11.1	11.1	NaN	11.6	NaN	4.3	NaN	NaN	NaN	Waterfall (incl Linear Processing & SSADM);	Yes	3	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7056	32766	A	2000	Government	Public Administration;	Business Application	Electronic Data Interchange;	New Development	PC	3GL	C	45.0	S	60.0	80	1.3	1.8	NaN	45.0	15.0	1.0	3-4	3.0	No	NaN	NaN	5	No	NaN	NaN	Dynamic Link Library;	NaN	Dynamic Link Library;	NaN	Yes	4.0	No	2.0	1.0	0.0	0.0	3.0	NaN	NaN	NaN	NaN	17.0	0.0	0.0	3975.0	Canada, dollar	NaN
7057	32767	B	2009	Manufacturing	Manufacturing;	Business Application	Cars selling;	Enhancement	Multi	3GL	Java	95.0	S	NaN	1449	NaN	15.3	0.0	15.8	NaN	6.0	NaN	NaN	Yes	NaN	NaN	8	Yes	NaN	NaN	Client server;	Client server;	NaN	NaN	Yes	2.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Common Values (Plot)

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(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)